2 beste Stellen als site reliability engineer in hessen – aktuell auf Personalsuche

Senior Data Architect (f/m/d)
Deutsche Börse —Frankfurt am Main
- Hybrides Arbeiten
- Azure
- Englisch
- Kostenloser Parkplatz
- Flexible Arbeitszeiten
OT Cybersecurity Engineer - Pen Testing / Purple Team
Vantage Data Centers UK Management Company Ltd —Offenbach
- Vollzeit
- Informatik
- Militär
- Bachelor
Direkt bewerben
16 Std.

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Senior Data Architect (f/m/d)

Deutsche Börse -
Frankfurt am Main

Jetzt bewerben

Details zur Stelle

Leistungen

Kostenloser Parkplatz
Flexible Arbeitszeiten
Kostenlose Verpflegung

Qualifikationen

Datenmodellierung
Azure
Cloud-Architektur
Big Data
Spark
Englisch
Google Cloud Platform
Unity

Vollständige Stellenbeschreibung

Frankfurt am Main, Luxembourg, Prague

Your career at Deutsche Börse Group

Your area of work:

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.

Your responsibilities:

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.

Your profile:

8–12+ years in data architecture/engineering within cloud big data platforms (GCP preferred), including enterprise and regulated environments.
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.

Why Deutsche Börse Group?

We are committed to providing a work environment where everyone feels welcome and can reach their full potential. Our standards go far beyond simply matching candidates with the right position.

Mobility

We enable you to move freely with our job tickets, job (e-)bikes and free parking opportunities.

Work environment

Collaboration, communication, or deep focus – in our modern office buildings you will find the perfect work environment. Free drinks and food and meal allowances included.

Health and wellbeing

We care for your health and wellbeing and besides various health promotion measures we offer you a group accident insurance and additional insurance offers at discounted rates.

Financial stability

We provide financial stability by offering attractive salaries, company pension schemes, participation in our Group Share Plan, as well as bonuses, subsidies and discounts.

Hybrid work

Collaborate and exchange on-site or work remotely several days a week in line with business needs and local regulations. Our hybrid working model combines the best of both worlds.

Flexible working hours

We want your job to fit your life situation and offer flexible working time models, childcare allowance, or the possibility to study alongside your job.

Internationality

Our market infrastructures are globally connected. Working with us means collaborating with like-minded colleagues across over 60 locations from more than 100 nations.

Development

We promote individual development by offering internal development programmes, mentoring, further education and training budgets.

Contact

Recruiting Team

Take your career to the next level with us and embrace new challenges!

+496921111810

Our Recruiting Team is looking forward to your call or e-mail.

Ready to start your career with us?

Apply now!

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