Senior Data Architect
vor 2 Wochen
We are seeking a highly skilled Senior Data Architect to join our team at Mindfuel. As a Senior Data Architect, you will be responsible for designing and implementing scalable data architectures that enable our customers to unlock real business value from their data. You will work closely with our data engineers and data scientists to build end-to-end data products that delight our customers.
Key Responsibilities- Lead efforts to modernize legacy systems and integrate emerging technologies such as AI, machine learning, and real-time data platforms.
- Assist our customers in translating their business requirements into a clear, comprehensive target vision for their system and data landscape.
- Design technical solution architectures for data products and platforms and devise comprehensive implementation plans to ensure their successful execution.
- Assist customers in defining roles, responsibilities, and processes to support platform and data-driven product development and operations.
- Analyze our customer's systems and data landscapes to assess maturity, identify gaps, and uncover opportunities for improvement.
- Oversee the design and implementation of data pipelines to ensure alignment with best practices and guidelines.
- Collaborate with vendors and stakeholders to evaluate and select technologies that meet technical and business requirements.
- Provide guidance on effective data modeling in the context of Lakehouse or more traditional Data Warehouse architectures.
- Mentor junior colleagues by offering technical oversight and personalized guidance to support their professional growth and career development.
- 5+ years of professional work experience at the interplay of data science and engineering, strategy, consultancy, and entrepreneurship.
- 3+ years of working experience in data architecture and engineering, especially with a focus on cloud architectures (AWS, Azure, GCP) and modern data platforms such as Databricks, Snowflake, and similar technologies.
- Experience with data-related frameworks and programming languages to build data products and data platforms, e.g., Python, Spark, dbt, or/and others.
- Experience with data modeling techniques such as 3NF, dimensional modeling, and Data Vault.
- Proficiency in the design and implementation of GenAI/ML architectures and MLOps processes.
- (Technical) higher education: B.Sc./M.Sc. in computer science, informatics, physics, engineering, or related fields with strong academic performance.
- Experience in stakeholder management, from technical level up to top management.
- Ability to communicate complex ideas effectively in German and English, both verbally and in writing.
- Basic consulting toolbox to amaze our clients with amazing storylines and sharp analyses, e.g., MS Office, business case calculations, hypotheses-based problem solving.
- Great teaching skills to enable others, strategic thinking, and entrepreneurial spirit, ambition to break new digital ground and identify growth opportunities.
Welcome to Mindfuel. We are a purpose-driven company that shapes Data Product Management for a better future. Our mission is to build an integrated ecosystem composed of our Data Product Management Operating System (SaaS) and our Data Product Management Studio (Services). We are on a mission to enable Data Product Managers of the future.
We are a people-first company. We honestly care about our team and our customers. This means we deeply embrace our company culture, which defines us as employees, colleagues, friends, and citizens. We welcome candidates of all backgrounds, genders, orientations, races, religions, nationalities, and abilities. We value the unique perspectives and experiences that a diverse workforce can bring to our organization and strive to create an environment where everyone feels respected, supported, and empowered.
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