Senior Cloud Data Engineer responsible for operating and optimizing cloud - based data environments. Collaborating with analytics teams and specializing in AWS, Databricks, and Spark technologies.
About the role
- Technical leader in Data & Analytics projects at Keyrus. Responsible for designing modern architectures and ensuring technical execution alignment.
Responsibilities
- Act as technical leader in Data & Analytics projects
- Design modern architectures, critically evaluate solutions, and coordinate technical implementation
- Translate complex requirements into clear, simple solutions
- Coordinate the technical execution of projects, ensuring alignment between architecture, scope, timelines, and client expectations
- Lead strategic conversations with clients, ensuring active listening, empathy, and clarity
- Ensure deliverables reflect the defined architectural vision and quality
- Evaluate new technologies, trends, and architectural approaches
Requirements
- 7+ years in Data Architecture, Data Engineering, or related roles.
- Proven experience designing complex solutions in modern data environments.
- Prior experience in consulting or client-facing projects.
- Track record of technical leadership of teams and projects.
- Advanced English
- Data Architecture (Data Lake, Data Warehouse, Data Mesh, distributed architectures).
- Cloud (Azure, AWS, or GCP) with a focus on data.
- Modern data platforms (Snowflake and Databricks).
- Data pipelines (ELT/ETL, streaming, orchestration).
- Data Governance / Data Quality / Metadata.
- Data modeling (relational, dimensional, domain-driven).
Benefits
- Culture of equality
- Diversity and multiculturalism
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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