Senior Data & AI Architect

We are looking for a Senior Data & AI Architect. As a seasoned strategist and engineer, you design, build, and manage the end-to-end data infrastructure that powers modern AI applications. You will serve as the primary technical partner for our clients, acting not just as a developer in isolation, but as a strategic thinker who unleashes complex data ecosystems to create tangible business value. Working directly on-site, you will bridge the gap between high-level vision and technical execution.


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

• 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

• 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…)

At reeeliance, we provide proven, experience-driven consultancy in data management, business intelligence, and SAP transformation, helping clients tackle their most pressing data challenges.
With offices in Berlin, Hamburg, and Porto, we take pride in our diverse and multidisciplinary team, whose varied expertise shapes the way we operate. We serve both mid-sized firms and international enterprises, particularly in highly regulated industries such as financial services and med-tech.

Our expertise spans diverse Data Warehousing stacks, Fast Data, and Business Intelligence technologies, enabling us to build robust, future-proof systems. From real-time data warehousing automation to cloud-based reference data management, we transform fragmented BI landscapes into integrated, high-performance information ecosystems.

In addition, we support enterprises in transforming their SAP landscapes to meet the demands of modern, digital business processes. Our SAP specialists guide companies through cloud migration, modernization efforts, process automation, data provisioning, and analytics—bridging the gap between heterogeneous tech stacks and architectures.

Curious and strategic, we combine technology with deep business understanding to develop holistic, forward-thinking solutions that foster sustainable competitive advantage and innovation.
Discover how we can help you unlock the full potential of your data.