Job
- Level
- Senior
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Frankfurt
- Working Model
- Onsite
Job Summary
In this role, you will develop a modern cloud data architecture for advanced analytics and ML, define data quality and usage standards, and implement processes for data integration and monitoring.
Job Technologies
Your role in the team
- As a Data Architect at Clearstream Securities Services, you will play a key role in driving our digital transformation by shaping the data architecture that underpins strategic initiatives such as Data & AI, the D7 digital securities platform, the modernization of our Digital CSD, and our cloud adoption journey.
- Your work will ensure that Clearstream's data ecosystem is secure, scalable, and future-ready, enabling advanced analytics, regulatory compliance, and innovative services for global financial markets.
- By defining enterprise standards and collaborating across domains, you will help position Clearstream as a leader in digital finance and data excellence.
- Define the target-state cloud data architecture (Lakehouse) across BI, analytics, and ML—including reference architectures, patterns, and guardrails.
- Leads domain-driven and Data Mesh architecture: curates federated data product standards, contracts, and interoperability guidelines.
- Establish architecture decision records (ADRs) and technology roadmaps (near/mid/long term), aligning with enterprise data strategy and regulatory requirements.
- Act as a trusted advisor to data scientists, analysts, and business product teams; unlock self-service patterns and reuse.
- Leads onboarding, training, and enablement programs to scale platform and catalog adoption; raises data literacy across domains.
- Mentor engineers and stewards; foster a culture of automation, reliability, and measurable outcomes.
- Guide the design and configuration of Atlan workspaces, clusters, compute policies, and libraries; ensure high availability, scalability, and cost efficiency.
- Own enterprise metadata strategy-ingestion, enrichment, and stewardship—leveraging Atlan (or equivalent) for catalog, lineage, glossary, and data contracts.
- Define data quality frameworks (profiling, rules, SLAs, monitoring) using solutions like Soda/Great Expectations; embed DQ controls into pipelines.
- Establish critical data element (CDE) standards, certification workflows, and KPIs; publish management reporting on catalog adoption and DQ outcomes.
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Our expectations of you
Qualifications
- Nachgewiesene Führungserfahrung in Databricks/Spark, Lakehouse-Architekturen und der Skalierung des Unity Catalogs.
- Hands-on track record with metadata/catalog platforms (Atlan/Collibra) and data quality frameworks (Soda/Great Expectations), including enterprise rollout and adoption.
- Demonstrated success in aligning IT, business, compliance, and security to implement governed, high-quality data solutions.
- Deep understanding of data modeling, data contracts, DQ SLAs, lineage, privacy/security, and observability (e.g., Azure Monitor/Datadog).
- Working knowledge of ML lifecycle (MLflow, feature stores) and semantic/metrics layers for analytics products.
- Executive-level communication, stakeholder engagement, and influence; comfortable with board-level reporting and audit dialogue.
- Strong facilitator and coach; able to drive consensus across diverse technical and business teams.
- Fluent in English; additional language skills are a plus.
- Certifications (preferred)
- Azure Data Engineer/Architect; Databricks Data Engineer Professional/Architect; TOGAF; CDMP (DAMA); Security/Compliance certifications are advantageous.
Experience
- 8-12+ years in data architecture/engineering within cloud big data platforms (GCP preferred), including enterprise and regulated environments.
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Topics that you deal with on the job
Job Locations
This is your employer
Clearstream Europe AG
As an established central securities depository in Germany, Clearstream Europe AG ensures the secure settlement and custody of securities across 19 European markets. The company provides comprehensive services in financial market infrastructure.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Banking, Finance, Insurance
Senior Data Architect
- Location
- Frankfurt
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
