About the role

With a strong "Builder’s Mindset," you prioritize sustainable, scalable, and secure engineering over temporary quick fixes. You will apply this rigor to high-stakes, regulated environments—such as Financial Services and Med-Tech—where data quality, compliance, and governance are engineered as core product features rather than administrative burdens.

Your responsibilities

As a Senior Data & AI Architect, you will shape the data ecosystems of our clients and represent reeeliance’s architectural vision

At this role, you will design and build the technical foundation for generative AI and machine learning workloads, including feature stores, vector databases (e.g., Pinecone, pgvector), embedding layers, and scalable ingestion pipelines

You will implement active metadata strategies to move beyond static catalogs; you will design systems that leverage machine-readable metadata for automated data quality, real-time observability, and intelligent pipeline orchestration

At this role, you will design and deploy 'embedded governance' frameworks, treating regulatory compliance, data privacy, and security as 'policy-as-code' within CI/CD pipelines—ensuring that compliance is a baked-in feature of the architecture rather than a bolt-on manual task

Your role will be to define and implement robust modeling standards for structured, semi-structured, and unstructured data (utilizing Data Vault, dimensional modeling, and schema-on-read approaches)

You will be responsible for structuring and conducting assessments to map a client's data landscape, identify readiness gaps (schema quality, lineage, governance maturity) and establish reusable assessment frameworks

You will treat regulatory requirements (e.g., EU AI Act, BCBS 239, GDPR, GxP) not as a burden, but as a technical feature, automate policies and security guardrails directly into CI/CD pipelines and platform provisioning

In this role, you will champion the "Golden Path" philosophy, value clean architecture, automated testing, documentation, and total reproducibility (via Git, MLflow, and containerization) as non-negotiables, hands-on engineer who is as comfortable deep-debugging a pipeline as you are designing high-level workflows

As a Senior Data & AI Architect, you will act as a bilingual bridge, by explaining vector embeddings to a business executive and business ROI to a developer, listening first to understand the client's problem before proposing technical solutions

You will coach client teams and mentor junior colleagues at reeeliance, enabling them to adopt modern, high-quality data engineering practices and scaling our architectural mindset

Our requirements

5+ years of experience in data engineering, data architecture, or a related software engineering role

Experience in or a strong interest in working within regulated sectors like Financial Services or Med-Tech, with an understanding of how regulatory standards shape data architectures

Deep expertise in architecting and scaling solutions on Databricks, Snowflake, BigQuery, or similar modern cloud platforms

High proficiency in Python and SQL, solid experience with transformation and orchestration tools (e.g., dbt, Apache Spark, Airflow, Prefect)

Hands-on experience building architectures for Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), practical knowledge of vector databases (e.g., Pinecone, Weaviate, pgvector) and embedding management

Solid understanding of MLOps patterns and tooling (e.g., MLflow, Kubeflow, SageMaker, or Vertex AI) to ensure models, code, and data versions are fully auditable and reproducible

Proven ability to build systems focused on automated data quality, data lineage, metadata catalogs, and real-time process monitoring

Familiarity with decentralized data architectures, such as Data Mesh, and separating platform capabilities (Data Fabric) from domain data products

Comfort with CI/CD tools, containerization (Docker, Kubernetes), and IaC (Terraform)

A passion for understanding how tools work under the hood and proactively exploring emerging tech trends (e.g., transition from basic RAG to Agentic Reasoning)

Strong consultative skills, empathy, and the ability to explain complex technical designs in plain language and experience in mentoring team members and helping them grow

Articulate with impeccable verbal and written communication skills in German (C1 level) and English (B2 level). Strong & discerning listener

What we offer

Space to grow: Taking ownership in international projects while continuously expanding your skills

Mentorship and Onboarding: Structured introduction supported by dedicated mentor

Cutting-edge workspace: Work with the latest technology and modern equipment to drive innovative solutions

Long-term stability: A permanent employment in a family-oriented and people-focused company

Diverse & inclusive environment: Join a truly international environment and collaborate daily with teammates from over 15 different nationalities

Balance matters or work-life harmony: A work schedule designed to promote well-being and productivity

Team culture & connection: Social events and structured team-building days held in Berlin and Hamburg

Language courses: Learn, improve or practice your conversational skills on language platform Lingoda

Never stop learning: You’ll receive a dedicated budget to industry-leading platforms like Udemy and MasterClass to sharpen your technical expertise and leadership skills

…and many other Job perks (childcare subsidy, company pension scheme, job bike, etc…)