Posted:
1/7/2026, 4:00:00 PM
Location(s):
Kraków, Lesser Poland Voivodeship, Poland ⋅ Lesser Poland Voivodeship, Poland
Experience Level(s):
Senior
Field(s):
Data & Analytics
Key Responsibilities
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.
#LI-MT1
#LI-Hybrid
Placement within this range depends on:
Relevant skills and qualifications
Prior job-related experience
Internal equity considerations (alignment with colleagues in similar roles) e.t.c.
We review pay ranges regularly to ensure they remain competitive with the external market and align with our internal equity considerations.
In addition to base salary, our employees have access to a comprehensive package of benefits and allowances, which may include:
Health & wellness coverage
Retirement and or savings plans
Allowances or benefits to support role requirements (e.g., mobility, transport, or role-specific needs such as a company car or allowance where applicable)
Work-life balance support (e.g., flexible working, leave programs)
Recognition and incentive programs aligned with performance and company success
The exact benefits package depends on the role, location, and employment terms as specified in the Colleague Value Proposition document that will be shared prior to the interview or at the offer discussion stage.
Performance Bonus: Details to be shared during offer discussions
Relocation Assistance Provided: No
Website: https://www.gehealthcare.com/
Headquarter Location: Chicago, Illinois, United States
Employee Count: 10001+
Year Founded: 1994
IPO Status: Public
Last Funding Type: Post-IPO Secondary
Industries: Apps ⋅ Health Care ⋅ Health Diagnostics ⋅ Home Improvement ⋅ Home Renovation ⋅ Internet ⋅ Medical