Product Director managing Target's Customer Data Platform. Leading strategy, financials, and team development to enhance guest experience through data - driven initiatives.
About the role
- Big Data Architect involved in the Data Engineering Team, drafting architectures and sizing efforts. Collaborating with key team members to ensure data platform efficiency and best practices.
Responsibilities
- Involved in drafting technical solutions tied within the Big Data team within the Data Engineering Team.
- Draft architectures together with the Lead Big Data Engineer, Enterprise Data Architect and Lead BI to come up with the best possible architectures.
- Using experience to size efforts of large tasks accordingly, key for other key roles within the team.
- Supports the team in refinement sessions to estimate better.
- Supports the Lead Big Data Engineer to draft works that can be inclusive of all the team to avoid silos.
- Provide input in project planning.
- Supports team to be able to contribute to peer reviewing collectively.
Requirements
- Assesses as-is the current data platform, defines future state platform together with the BDE team lead. Performs gap analysis to drive the future state data platform (including implementation) with frequent discussions with internal parties such as the team lead, enterprise architect, data governance and data-devops.
- Understands leading/emerging Big Data technologies and trends on the market and can communicate these effectively to a wide audience.
- Clearly communicates any updates, new technologies or practises with the team lead and the BDE team in a clear manner.
- Ensures that the BDE adheres to best practices, this ensures that coding standards and the accuracy, validity, and reusability of data is maintained.
- Excellent working SQL knowledge and experience with both relational and columnar databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Collaboration with key stakeholders for specific research, work effort sizing.
Benefits
- Great career development opportunities
- Hybrid working model
- International Health Insurance
- Health and Wellbeing Package (350 EUR per year)
- Birthday Day Off
- Me Time - 1 day off per year
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
Senior AI Data Pipeline Engineer building scalable data pipelines and optimizing AI workflows at Trimble. Designing architectures that enhance digital construction technology across industries.
Data Engineering Intern at Efficy supporting data management and ETL pipeline development. Collaborate with teams and contribute to the enhancement of data architecture.
Senior Data Engineer building and optimizing data pipelines for Garner Health. Seeking a candidate with experience in AWS, SQL, and Python with a mission - driven mindset.
Data Engineer (GCP) designing and maintaining scalable data platforms at LUZA Group in Portugal. Collaborating and ensuring data integrity across multiple complex datasets.
Data Architect at Integrant responsible for designing and building data solutions for analytical purposes. Involves eliciting requirements, data pipelines, and coaching teams on methodologies.
Senior Data Engineer developing and maintaining data pipelines for clients in an Agile setting. Collaborating with teams to enhance data quality and mentoring junior engineers.
Lead Data Engineer overseeing the migration from Redshift to AWS RDS and mentoring data analysts in Python and DataOps practices.
Senior Data Engineer designing and maintaining scalable data pipelines using modern technologies. Collaborating with cross - functional teams and providing mentorship in a dynamic environment.
Data Architect leading design and implementation of cloud data platforms for digital transformation. Collaborating with stakeholders to define data strategies and governance models.