Data Architect

AI Futures; München; Hybrid; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading product-based technology company located in Munich is seeking a Senior Data Architect. This role focuses on designing scalable data architectures using AWS, driving the data strategy, and collaborating with various teams. A successful candidate will have over 6 years of experience in data architecture, possess deep knowledge of AWS services, and demonstrable expertise in data systems within product-based environments. Flexible hybrid work options are available along with competitive compensation and a supportive work culture.

Leistungen

Competitive salary and equity options

Generous learning & development budget

Annual company offsites

Qualifikationen

• 6+ years of experience in data architecture or related roles.
• Proven track record designing data systems in a product-based environment.
• Expert-level knowledge of AWS data services.

Aufgaben

• Design, build, and optimize scalable data architectures on AWS.
• Lead the design of data lakes and real-time streaming pipelines.
• Implement data governance and security frameworks.

Kenntnisse

AWS Services Expertise

Data Architecture Design

Data Engineering

Python

SQL

Communication Skills

Leadership

Knowledge of Data Compliance

Tools

Apache Spark

Airflow

dbt

Kafka

Snowflake

Jobbeschreibung

Senior Associate | AI Futures | Filling the AI skills gap ®

Job Type: Full-Time

Industry: Technology / Product Development

Level: Senior

Reports to: Head of Data / CTO

About Us

We are a leading product-based technology company headquartered in Munich, building data-driven solutions that power real-time decision-making across industries. Our mission is to turn complex datasets into simple, actionable insights through cutting-edge cloud architecture and scalable data platforms. We're passionate about engineering excellence, innovation, and building products that make a measurable impact.

Position Overview

We’re seeking an experienced Senior Data Architect to lead the design and evolution of our data infrastructure. In this role, you will play a critical part in defining our long-term data strategy, driving architectural decisions, and ensuring our platform scales efficiently as we grow. Deep expertise in AWS services and modern data architectures is essential.

Key Responsibilities

• Design, build, and optimize scalable and secure data architectures on AWS.
• Define and maintain the enterprise-wide data architecture vision in alignment with business goals.
• Lead the design and implementation of data lakes, data warehouses, and real-time streaming pipelines.
• Collaborate with engineering, product, and analytics teams to ensure consistent and high-quality data delivery.
• Implement data governance, security, lineage, and cataloging frameworks across all data assets.
• Evaluate and select appropriate data storage, compute, and processing tools from the AWS ecosystem.
• Provide technical leadership and mentorship to data engineers and analysts.
• Establish best practices for data modeling, integration, and data quality.
• Stay up to date with emerging trends and technologies in cloud data architecture and recommend innovations.

Required Qualifications

• 6+ years of experience in data architecture, data engineering, or related roles.
• Proven track record designing and scaling data systems in a product-based environment.
• Expert-level knowledge of AWS data services (e.g., Redshift, Glue, Lake Formation, S3, Athena, Kinesis, EMR).
• Strong understanding of distributed systems, data modeling (OLAP/OLTP), and data pipeline orchestration.
• Experience with modern data tools (e.g., Apache Spark, Airflow, dbt, Kafka, Snowflake) is a strong plus.
• Proficiency in Python, SQL, and data engineering best practices.
• Familiarity with GDPR and other data compliance standards.
• Excellent communication and leadership skills with the ability to work cross-functionally.
• Fluent in English; German is a plus.

What We Offer

• A central Munich location with hybrid work flexibility.
• Competitive salary and equity options.
• A collaborative, product-focused culture with high autonomy.
• Generous learning & development budget.
• Modern tech stack and cloud-first environment.
• Annual company offsites and regular team events.