remote
Lead Data Engineer / Data Architect
Data Engineer
Lead the design and implementation of scalable data pipelines on Azure, driving architecture decisions, optimizing data lake storage, and guiding Agile teams to deliver high‑performance analytics solutions.
About the role
Key Responsibilities
- Design and govern end‑to‑end data architectures on Azure, including Data Factory, Data Lake, and Data Lake Storage.
- Lead a team of data engineers in building, testing, and deploying robust, scalable ETL/ELT pipelines.
- Collaborate with product owners and stakeholders to translate business requirements into technical solutions.
- Implement best practices for data modeling, partitioning, and performance tuning to ensure low‑latency analytics.
- Drive continuous improvement within an Agile framework, facilitating sprint planning, retrospectives, and knowledge sharing.
Requirements
- 5+ years of hands‑on experience with Azure data services, especially Azure Data Factory, Azure Data Lake, and Azure Data Lake Storage.
- Strong background in data engineering and data architecture, including data modeling, pipeline orchestration, and cloud‑native design patterns.
- Proven ability to lead technical teams in an Agile environment, delivering complex data solutions on schedule.
- Expertise in SQL, Python or Scala for data transformation, and familiarity with CI/CD pipelines for data workloads.
- Excellent problem‑solving and communication skills, with a focus on translating business needs into scalable technical implementations.