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GE HealthCare Director - Data Architecture 
Poland, Lesser Poland Voivodeship, Krakow 
951349362

Today

Strategic Leadership:

  • Developing and executing a data architecture strategy aligned with the company's business objectives and data analytics roadmap.

  • Defining and maintaining the enterprise data model, data standards, and data governance policies.

  • Staying abreast of emerging technologies and trends in data architecture, data integration, and data governance, evaluating their potential impact on the data architecture.


Technical Leadership & Architecture:

  • Leading the design and implementation of data integration patterns, data pipelines, and data solutions on AWS.

  • Overseeing the evolution of our data lake, data warehouse, and related data services, ensuring scalability, reliability, and security.

  • Providing architectural guidance and oversight for data-related projects across the organization.

  • Analyzing, designing, and developing a solution roadmap and implementation plan based upon a current vs. future state of the business.

  • Participating in the Enterprise Architecture domain governance model.

  • Contributing to the development of software, data and technology platforms with reusable components that can be orchestrated together into different methods.

  • Leading the research and evaluation of emerging technology, industry and market trends to assist in project development and/or operational support actives.

Team Leadership & Development:

  • Leading, mentoring and develop a team of Data Architects, providing technical guidance, performance feedback, and career development opportunities.

  • Fostering a collaborative and innovative team environment.

  • Promoting knowledge sharing and best practices within the team and across the broader Data Analytics organization.

  • Managing budgets and strategic inputs into short/long term budget planning.

Collaboration & Stakeholder Management:

  • Partnering closely with Data Scientists, Data Engineers, Business Analysts, and other stakeholders to understand their data needs and deliver effective solutions.

  • Collaborating with Enterprise IT to ensure alignment with overall IT strategy and governance.

  • Communicating technical concepts and solutions effectively to both technical and non-technical audiences.

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred.

  • Strong experience in data architecture, data modeling, or related roles.

  • Experience in leading and managing technical teams.

  • Deep expertise in cloud computing, specifically AWS (Amazon Web Services). Experience with services such as S3, EC2, EMR, Glue, Athena, Redshift, Kinesis, Lambda, and IAM is essential.

  • Proven experience in designing and implementing data lakes, data mesh, data warehouses, and data pipelines.

  • Strong understanding of data modeling techniques (relational, dimensional, NoSQL).

  • Experience with data integration tools and techniques (ETL/ELT).

  • Technical Expertise: AWS Cloud Services, Data Modeling, Data Warehousing, Data Lake Architecture, ETL/ELT Processes, Data Governance, Data Security, Metadata Management, Data Lineage.

  • Leadership: Team Management, Mentoring, Strategic Thinking, Communication (written and verbal), Problem-Solving.

  • Soft Skills: Collaboration, Influence, Adaptability, Results-Oriented.