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About the Role

We are looking for a Senior Data & AI Architect to design, build, and manage the end-to-end data infrastructure that powers intelligent AI applications. In this role, you will act as a systems-oriented Senior Data & AI Architect for our clients, bridging the gap between complex data networks and tangible business value. You prioritize sustainable, scalable, and secure engineering, especially in high-stakes, regulated environments like Financial Services and Med-Tech.

Responsibilities

Shape the data ecosystems of clients and represent reeeliance’s architectural vision.
Design and build the technical foundation for generative AI and machine learning workloads, including feature stores, vector databases, embedding layers, and scalable ingestion pipelines.
Define and implement robust modeling standards for structured, semi-structured, and unstructured data.
Structure and conduct assessments to map a client's data landscape, identify readiness gaps, and establish reusable assessment frameworks.
Treat regulatory requirements as a technical feature, automating policies and security guardrails directly into CI/CD pipelines and platform provisioning.
Champion the 'Golden Path' philosophy, valuing clean architecture, automated testing, documentation, and total reproducibility.
Act as a bilingual bridge, explaining complex technical concepts to business executives and business ROI to developers.
Coach client teams and mentor junior colleagues, enabling them to adopt modern, high-quality data engineering practices.

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

Skills

Python
SQL
Databricks
Snowflake
BigQuery
dbt
Apache Spark
Airflow
Prefect
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Vector databases
Pinecone
Weaviate
pgvector
MLOps
MLflow
Kubeflow
SageMaker
Vertex AI
Data quality
Data lineage
Metadata catalogs
Process monitoring
Data Mesh
Data Fabric
CI/CD
Docker
Kubernetes
Terraform

Experience Level

Senior

Benefits

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
Long-term stability: Permanent employment in a family-oriented and people-focused company
Diverse & inclusive environment: Truly international environment with teammates from over 15 different nationalities
Balance matters or work-life harmony: Work schedule designed to promote well-being and productivity
Team culture & connection: Social events and structured team-building days
Language courses: Learn, improve or practice conversational skills on language platform Lingoda
Never stop learning: Dedicated budget for industry-leading platforms like Udemy and MasterClass
Other Job perks (childcare subsidy, company pension scheme, job bike, etc.)

About the Company

reeeliance guides regulated enterprises in turning AI readiness into AI-embedded operations, redesigning the workflows where risk, compliance, and business decisions actually happen.
We design, build, and govern the data foundations that make it possible, combining strategic advisory, data and AI engineering, and deep SAP expertise across Hamburg, Berlin, and Porto.