Senior Data Architect

MAM Gruppe; Nordrhein-Westfalen; Hybrid; EUR 70,000 - 90,000; Full time

Benefits offered by this job

Learning and development opportunities

Competitive salary with added benefits

Commuting options (public transport, parking, bike leasing)

Collaborative, international environment

Job summary

A leading technology firm in North Rhine-Westphalia is seeking a skilled Cloud Data Architect to shape Azure-based big data architectures. The ideal candidate must have experience in building data pipelines and proficiency in programming languages like Python or Scala. This full-time position offers a competitive salary, learning opportunities, and a collaborative international work environment.

Qualifications

• Experience in designing and implementing Azure-based data architectures.
• Ability to translate business needs into technical solutions.
• Proficient in cloud data strategy and technology choices.

Responsibilities

• Design and implement scalable Azure-based data architectures.
• Advise on cloud data strategy and best practices.
• Lead technical discussions and stakeholder workshops.

Skills

Building and optimizing big data pipelines

Proficient in Python or Scala

Familiar with distributed systems (Spark, Kafka)

Knowledge of NoSQL

Job description

Overview

Location: North Rhine-Westphalia (Hybrid). Our client is seeking a skilled Cloud Data Architect to advance its Azure-based big data platform. This role suits someone driven to shape modern data architectures that support analytics and data products in a dynamic enterprise setting.

Experience in (GCP is ok).

Key Responsibilities

• Design and implement scalable Azure-based data architectures.
• Advise on cloud data strategy, best practices, and technology choices.
• Translate business needs into robust technical solutions.
• Lead technical discussions and stakeholder workshops.
• Develop PoCs, prototypes, and MVPs using modern data tools.
• Support project delivery, including implementation and documentation.
• Share knowledge and mentor junior team members.
• Stay up to date on emerging data technologies.

Your Profile

• Experience building and optimising big data pipelines and workflows
• Proficient in two or more languages (e.g., Python, Scala)
• Familiar with distributed systems (e.g., Spark, Kafka)
• Knowledge of NoSQL and cloud-native streaming tools
• Ability to evaluate architecture options.

What’s Offered

• Learning and development opportunities.
• Competitive salary with added benefits.
• Commuting options (public transport, parking, bike leasing).
• Collaborative, international environment.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology
• Industries
• Staffing and Recruiting