Senior Data Architect
vor 1 Woche
You are an expert in building scalable data architectures and love to leverage data to create value. As our next Senior Data & Solutions Architect, you will be responsible for designing and implementing data platforms that enable our customers to make informed decisions. Your expertise in cloud architectures, data modeling, and data engineering will be crucial in helping us achieve our goal of unlocking real business impact from data.
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 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.
- Great teaching skills to enable others, strategic thinking, and entrepreneurial spirit, ambition to break new digital ground and identify growth opportunities.
Welcome to Mindfuel, a purpose-driven company that shapes Data Product Management for a better future. We are on a mission to build an integrated ecosystem composed of our Data Product Management Operating System (SaaS) and our Data Product Management Studio (Services). Our goal is to unlock real business impact from data by bringing data into products of all kinds while shifting those who truly care from a project to a product mindset.
We are a people-first company that deeply cares about our team and our customers. 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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