Senior Data Architect

Beschreibung

Job Zusammenfassung In dieser Position entwickelst du eine moderne Cloud-Datenarchitektur für fortschrittliche Analysen und ML, definierst Standards für Datenqualität und -verwendung und führst Prozesse zur Datenintegration und -überwachung ein. Job Zusammenfassung In dieser Position entwickelst du eine moderne Cloud-Datenarchitektur für fortschrittliche Analysen und ML, definierst Standards für Datenqualität und -verwendung und führst Prozesse zur Datenintegration und -überwachung ein. Deine Rolle im 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. Lead domain-driven and Data Mesh architecture: curate 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. Lead onboarding, training, and enablement programs to scale platform and catalog adoption; raise 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. Unsere Erwartungen an dich Qualifikationen Proven leadership in Databricks/Spark, Lakehouse architectures, and operationalizing Unity Catalog at scale. Hands-on track record with metadata/catalog platforms (Atlan/Collibra) and data quality frameworks (Soda/Great Expectations), including enterprise rollout and adoption. Demonstrated success 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. Erfahrung 8-12+ years in data architecture/engineering within cloud big data platforms (GCP preferred), including enterprise and regulated environments. Themen mit denen du dich im Job beschäftigst Cloud Computing AI Data Economy Metadaten Level: Senior Job Feld: Data, Back End Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Onsite Unternehmenstyp: Etablierte Firma Branche: Banken, Finanz, Versicherung Ort: Frankfurt am Main | Deutschland

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