Data Governance Experts in Berlin
matched in minutes from over 15,000 CVsHire experts who establish data ownership, design governance frameworks and improve data quality across complex organisations. FRATCH connects you with vetted, available freelancers through fast, precise AI matching.
Meet FRATCH Experts in Berlin, who have recently used Data Governance
Fred K.
Last position:
Project Manager Digital Restructuring at Northrop Grumman LITEF GmbH
Assignment focus: Leading digital restructuring in a highly regulated Defence and Aerospace environment. Focus areas: improving data flows and data quality, introducing paperless data collection in production, integrating machine data for automatic SPC calculation and process control, as well as cybersecurity analyses.
Main objectives:
- Analyze, structure and improve data flows and data quality in production
- Introduce paperless data collection in manufacturing areas
- Integrate machine data for automatic SPC data calculation and process control
- Implement digital restructuring while meeting regulatory requirements in the Defence environment
Measures and results:
- Analyzed and structured existing production data flows as a basis for control and reporting
- Established mechanisms to ensure data quality and availability across manufacturing areas
- Introduced paperless data collection in production — replacing manual and paper-based processes
- Integrated machine data for automatic SPC data calculation (control charts, Cp/Cpk) and real-time process control
- Conducted cybersecurity analyses in the production and IT environments
Area of responsibility: Project management for digital restructuring, paperless production, data management and data quality in a highly regulated Defence and Aerospace environment.
Alexander Z.
Last position:
Senior Data Solutions Engineer at VMware Inc.
- Architected and deployed private cloud data platform on VMware vSphere, integrating Greenplum MPP, Apache Kafka, Kubernetes, and Apache Solr, and developed real-time ingestion pipelines with Kafka Connect and Schema Registry.
- Led Oracle Exadata to Greenplum migration, rearchitected data models, optimized storage, implemented RabbitMQ with Debezium for CDC, and deployed VectorDB for Generative AI.
- Designed and executed multi-cloud migration PoC across AWS, Azure, and GCP, defined KPIs for throughput, latency, and cost efficiency, executed bulk data transfers, validated analytics and streaming workloads, and delivered full-scale architecture recommendations.
- Assessed legacy on-premises infrastructure and designed modern cloud-native data platforms using Greenplum and containerized microservices, advising on scalability, disaster recovery, and high-availability.
Arda I.
Last position:
Founder & Managing Director at Lumin Advisory Sustainability Strategy UG
Founded and lead a Berlin-based sustainability consultancy for semiconductor, electronics, battery and industrial clients.
- Product carbon footprints and LCA (ISO 14040/44, ISO 14067, PACT), Scope 1-3 GHG inventories and decarbonisation roadmaps
- EU regulatory compliance: CSRD/ESRS and double materiality, CBAM, ESPR/Digital Product Passport, EU Battery Regulation, CRMA, WEEE, PPWR/EPR
- Critical raw materials strategy and market intelligence (e.g. gallium/germanium study for a global semiconductor manufacturer)
- EU-funded consortia and proposals (Horizon Europe, EIT RawMaterials, RAMP) Website: luminsustainability.com
Bidya B.
Last position:
Product Manager – Payments & Platform at Pipedrive
CRM and revenue platform managing billing and subscription workflows.
- Scaled payments infrastructure across data products, direct debit expansion and automated abuse prevention, generating $416K in annualized operational savings ($8K/week) by eliminating redundant gateway calls.
- Owned backlog and sprint execution for autonomous checkout abuse detection pipelines, designing real-time risk guardrails and velocity heuristics that blocked card testing attacks.
- Architected enterprise billing migrator user stories and data reconciliation mechanisms, achieving zero-downtime subscription state transitions and cutting $60K in infrastructure overhead.
- Expanded European direct debit (SEPA) payment capabilities, managing cross-squad API dependencies and automated webhook error-handling to eliminate checkout friction.
Gyan P.
Last position:
Senior DevOps & Cloud Architect, Head of Infrastructure at Bosch
- Azure Landing Zone architecture: Design and implement a hub-spoke, multi-region-capable Azure landing zone that provides the secure, scalable and highly available foundation for autonomous driving and parking data/ML platforms.
- Compliance through Azure Policy: Enforce security and compliance standards across Azure subscriptions via Azure Policy (guardrails, deny/audit/deploy-if-not-exists), consistently achieving top-tier infrastructure security scores.
- Infrastructure-as-Code: Automate provisioning and configuration of Azure resources with Terraform and Bicep, with changes delivered through reviewed CI/CD pipelines.
- Azure Databricks and Unity Catalog: Extensive experience operating Azure Databricks with Unity Catalog for centralized data governance, access control, lineage and auditing across workspaces.
- Monitoring and observability: Built and run infrastructure monitoring and logging with Azure Monitor, Prometheus, Grafana and Loki, covering platform health, alerting, troubleshooting and capacity trends.
- Platform at scale: Architected and operate cloud data/ML platforms supporting multi-PB vehicle data ingestion and simulation; orchestrate Argo Workflow-based recompute and autolabeling services scaling to 100k+ concurrent pods on AKS.
- Reproducible ML: Established reproducible training environments with dataset versioning and provenance tracking, enabling auditing and experiment reliability.
- Operational excellence: Automated GitHub organization management and CI/CD pipelines, improving developer productivity and deployment reliability; automated recurring operational processes.
- FinOps: Developed transparent resource utilization and cost-tracking for multi-project Azure environments.
- Leadership: Technical lead for infrastructure topics, collaborating with development, DevOps and security teams; technical interviewer and recruitment panel member for scaling the engineering team.
Mahboobeh S.
Last position:
Senior Analytics Engineer at Jadoosoft
Engaged as an independent BI consultant for a FinTech SaaS platform, building and maintaining the end-to-end Microsoft Azure and Fabric analytics stack behind a multi-tenant accounting product used by business owners to track their own financial performance.
- Partnered with finance stakeholders to translate complex accounting workflows into real-time BI dashboards (P&L, Cash Flow, Balance Sheet), helping 2000+ business owners track cash flow and overall financial health effortlessly.
- Developed 10+ interactive dashboards, giving each business owner personalized, real-time visibility into their own sales performance, accounts receivable aging, and operational costs.
- Enforced strict enterprise data governance by implementing dynamic Row-Level Security (RLS) via DAX to isolate each business owner's data within the shared multi-tenant model.
- Maintained and extended an Azure ELT pipeline (Azure Data Factory, Azure SQL Database, Azure Synapse) that automated data ingestion and transformation.
- Contributed to a team-wide platform migration from Azure to Microsoft Fabric to optimize capacity licensing costs.
- Designed and implemented a Microsoft Fabric ELT pipeline (Lakehouse, Pipelines, PySpark) that automated data ingestion and transformation, replacing the prior Azure pipeline.
- Modeled cleansed data into a Star Schema within the data warehouse using T-SQL, powering the Power BI Semantic Model.
- Leveraged AI tools, including Copilot and Claude, as development partners across the entire ELT pipeline, from data ingestion to KPI reporting and visualization.
- Supported agile delivery processes, using Jira to track development tasks and Confluence to maintain technical and project documentation.
Santina W.
Last position:
Business Analyst & BI Strategist - Comparison Portal at dataweys (self-employed)
- Assessment of the existing reporting landscape and strategic bundling of needs
- Migration and consolidation of reports to Metabase, connected to ClickHouse as the data foundation
- Building and maintaining data pipelines
Stack: Metabase · ClickHouse · Appsmith · Airflow
Patricia A.
Last position:
Head of Operations at StratifAI GmbH
- Designed, managed, and implemented the company’s operational, compliance, procurement, and financial strategy, ensuring alignment with rapid scaling and regulatory objectives.
- Built and scaled operational infrastructure across IT, HR, Finance, Procurement, and Compliance, supporting growth from 4 to 20 team members in 6 months.
- Oversaw financial management of OPEX, including budgeting, monitoring, and cost optimization to sustain high-growth operations.
- Developed and executed a procurement strategy, including vendor selection, negotiation, and performance oversight.
- Procured and managed external consultants (compliance, quality, regulatory experts) and orchestrated collaboration across internal teams and external partners to meet milestones.
- Implemented policies, SOPs, and business systems (compliance tracking, eQMS, payroll, vendor management, data governance) to support regulatory compliance and scalability.
- Managed and actively oversaw regulatory and compliance programs, embedding GDPR, HIPAA, SOC 2, ISO 27001, and ISO 27701 requirements into day-to-day operations.
- Directed the rollout of a Quality Management System (QMS) aligned with ISO 13485 to prepare for medical device and AI regulatory certifications.
- Led people and culture development, establishing onboarding, performance management, and cross-functional collaboration structures to scale the organization effectively.
- Established risk management and business continuity frameworks, including security controls, risk registers, and compliance safeguards.
- Engaged executive leadership, board, and investors to align operational strategy with corporate goals and market expansion.
- Enabled technology-driven operations, selecting and implementing digital systems (e.g., Drata, Qualio) to ensure compliance and efficiency.
- Scaled StratifAI’s operational backbone to support rapid growth and international market readiness.
- Achieved ISO 27001, ISO 27701, SOC 2, GDPR, and HIPAA compliance within 6 months, enabling enterprise and healthcare partnerships.
- Implemented a QMS system aligned with ISO 13485, paving the way for regulatory approvals and positioning for upcoming ISO 13485 certification, CE-IVDR marking, and FDA clearance within 12 months.
- Designed and executed governance, procurement, and financial controls, ensuring efficient resource allocation and sustainable compliance.
- Established a culture of structured growth, integrating people, processes, and compliance frameworks to maintain operational excellence.
- Enabled StratifAI to confidently enter regulated US and EU markets, building the foundation for long-term expansion.
Utku E.
Last position:
AI Strategy Consultant at Freelance
- Developed YourBestChance.io, an AI-powered career resilience platform that leverages advanced machine learning to provide personalized guidance and resources for users.
- Architected and implemented a Retrieval-Augmented Generation (RAG) system supporting three languages, utilizing GPT-based large language models (including OpenAI and Grok variants) integrated with specialized vector databases for efficient semantic search and similarity matching.
- Built an interactive AI chatbot powered by generative AI and RAG pipelines to deliver real-time, context-aware responses and enhance user engagement.
- Optimized data pipelines and AI infrastructure for scalability, ensuring robust performance under increasing loads and reducing latency by 50%.
- Developed comprehensive AI strategies using ML and Gen AI to create customized growth plans; analyzed company data to identify strengths, weaknesses, risks, and opportunities for AI integration.
- Defined ethical frameworks for AI deployment, assessed workforce and leadership upskilling needs, and built phased action plans (short-, mid-, and long-term) with targeted AI integration recommendations.
Rohini A.
Last position:
Senior Product Manager at Zalando
- Product strategy & vision: Led campaign performance reporting platform serving 700+ partners, transformed manual MSTR-based weekly reporting to real-time self-service platform enabling partner autonomy and operational efficiency
- Strategic roadmap management: Led phased migration prioritizing Performance campaigns (70% revenue) ahead of Awareness and Engagement, driving iterative platform evolution aligned with objectives, partner feedback, GDPR compliance, and data retention policies
- User research & customer discovery: Conducted regular user interviews with partners to understand reporting needs, decision-making processes, and additional KPI requirements, translating insights into platform enhancements and feature prioritization
- Cross-functional leadership: Collaborated with Product Consultants, analysts, data engineers, frontend teams, and product marketing to execute seamless platform migration, reducing PC team size by 2 FTEs while improving service quality
- Scaled user adoption: Strategically onboarded partners starting with top 30 partner-program partners, expanding to all 700+ partner-program and wholesale partners through user education documentation, training coordination, and iterative feedback incorporation
- Data-driven product optimization: Implemented Google Analytics tracking and engagement monitoring, identified low-engagement features (report downloads, detailed links), deployed AppCues and re-education campaigns resulting in 40% weekly engagement rate
- KPI standardization & governance: Led cross-functional initiative to standardize KPI definitions and formulas across reports, dashboards, and ZMS platform, defined North Star metrics and essential KPIs for each campaign objective ensuring consistent measurement and decision-making
Emmanuel E.
Last position:
Privacy Compliance Associate (Volunteer) at Word Alive Ministries (Stone Church)
- Maintain internal GDPR documentation and manage data access controls within digital systems.
- Train users on privacy protocols, recordkeeping, and document management standards.
Henryk O.
Last position:
Security Consultant at Daimler AG
- Development of a cloud security strategy
- Implementation of cloud security governance to comply with ISO/IEC 27017 and the CSA CCM
- Creation of a management system to control cloud security with a focus on process design as well as roles and responsibilities
- Definition of security measures to safeguard cloud solutions
- Conducting requirements analyses and defining the scope for cloud security projects
- Achievements: Established an effective NIS2-compliant cloud security governance that meets industry-specific requirements and effectively minimizes cloud security risks
Ammad T.
Last position:
Senior Data Architect at Makerverse
- Designed and implemented the company's end-to-end data architecture, including ingestion, modeling, and BI layers.
- Developed modular and reusable dbt models to support product, finance, and marketing analytics.
- Introduced data governance practices and metadata management, improving trust and discoverability across teams.
Discover over 15,000 top freelancers
Statistics of experts using Data Governance
Aggregated from the professional profiles of matched freelancers.
Experience
16 years (Germany: 19 years)
Position duration
2 years (Germany: 2.9 years)
Positions per freelancer
10 (Germany: 11)
Top business areas
Information Technology, Business Intelligence, Project Management
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
100% (Germany: 97%)
Master's degree or higher
77% (Germany: 62%)
Doctorate
23% (Germany: 13%)
Certifications per freelancer
3 (Germany: 4)
Most common languages
English, German, Spanish
Speak two or more languages
92% (Germany: 98%)
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Berlin are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Berlin using Data Governance
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Data Governance experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (85%)
- Banking and Finance (54%)
- Professional Services (54%)
- Automotive (46%)
- Manufacturing (46%)
- Retail (46%)
- Education (38%)
- Energy (31%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Data Governance covers
Data Governance defines how an organisation manages data as a shared business asset. It sets ownership, accountability, policies and controls for data quality, access, security and lifecycle management. The work connects business priorities with technical data operations.
Where it is used
Companies use Data Governance to make data reliable across departments, applications and reporting processes. Typical initiatives include:
- Defining data ownership and stewardship models
- Creating business glossaries and data catalogues
- Establishing quality rules and issue workflows
- Supporting regulatory, risk and audit requirements
- Standardising data across mergers and core systems
Ecosystem and tooling
Strong specialists work across data catalogues, metadata management, master data management and lineage tools. They may use platforms such as Collibra, Alation, Informatica, Microsoft Purview or Atlan, alongside cloud warehouses, lakehouses and business intelligence tools. They also connect governance processes with identity, security and privacy controls.
When companies need support
Freelance expertise is useful when governance is new, fragmented or blocking a data programme. Specialists can create a practical operating model, clarify critical data elements, prepare a catalogue rollout or repair ownership gaps after a system change. In Berlin, they may support local teams on site while coordinating with distributed stakeholders remotely.
Skills that matter
The best professionals combine policy design with hands-on knowledge of data architecture, metadata, master data and quality management. They can translate between executives, legal teams, domain owners and technical teams without turning governance into paperwork. Experience with cloud migration, analytics, privacy and change management adds value.
How quality is judged
A capable Data Governance specialist makes responsibilities visible and decisions repeatable. Look for clear deliverables such as a governance charter, ownership matrix, glossary, quality scorecards and escalation paths. Strong work fits existing processes, gains adoption from data owners and creates measurable improvements without slowing useful access to data.
Frequently asked questions
Questions about Data Governance? Start with the answers below.
Data Governance is used to define who owns data, how it should be described, where it can be used and how its quality is maintained. It supports trustworthy reporting, controlled access, regulatory work and consistent decisions across systems.
Data Governance sets the policies, decision rights and accountability for data, while data management covers the operational work of storing, integrating and processing it. The two disciplines are closely connected, but governance provides the direction and controls for data management.
A strong Data Governance professional often brings experience with data quality, metadata, master data management, data catalogues and lineage. Knowledge of privacy, information security, cloud data platforms and change management is also valuable.
The right level of Data Governance experience depends on the scope, data complexity and number of business domains involved. A focused catalogue or ownership project may need a specialist for a defined delivery phase, while an enterprise model benefits from someone who can lead adoption and coordinate several teams.
Data Governance is well suited to remote collaboration because much of the work involves workshops, documentation, policy design and tool configuration. On-site sessions in Berlin can still help when teams need to agree on ownership, resolve sensitive issues or align stakeholders in person.
A Data Governance freelancer should turn broad goals into practical artefacts, decisions and operating routines. Useful deliverables can include a governance charter, ownership model, business glossary, quality rules, catalogue structure and rollout plan.
Good Data Governance makes ownership clear, improves the reliability of important data and gives teams a consistent way to resolve issues. Assess whether the specialist can show how policies are adopted, how quality is monitored and how governance supports business decisions rather than adding unnecessary process.
Data Governance depends on clear communication between business, legal and technical stakeholders. English is common in international teams, while German can be important for workshops, internal policies and collaboration with local business units.
The average hourly rate of freelancers in Berlin, Germany who have used Data Governance in their recent projects is 114 €, which corresponds to a daily rate of about 910 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used Data Governance in their recent projects, 100% hold at least a Bachelor's degree, 77% hold at least a Master's degree, and 23% hold a doctorate.
On average, freelancers in Berlin, Germany who have used Data Governance in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Berlin, Germany who have used Data Governance in their recent projects are English (100%), German (85%), and Spanish (23%).
The most common industries among freelancers in Berlin, Germany who have used Data Governance in their recent projects are Information Technology (85%), Banking and Finance (54%), and Professional Services (54%).
The most common business areas among freelancers in Berlin, Germany who have used Data Governance in their recent projects are Information Technology (92%), Business Intelligence (77%), and Project Management (69%).
Main locations of FRATCH Experts, who have recently used Data Governance
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Hamburg 
Munich 
Cologne 
Frankfurt 
Dusseldorf 
Essen Countries:
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