We are seeking an experienced Senior Data Engineer & Data Platform Lead to play a key role in designing, building, and scaling a modern enterprise data platform leveraging Databricks and Microsoft Fabric .
This role combines hands-on engineering, dimensional data modelling, and technical leadership. You will work closely with business stakeholders, analysts, architects, and engineering teams to deliver scalable, high-quality data products that support reporting, analytics, and self-service BI across a retail and POS environment.
The ideal candidate is equally comfortable defining data architecture, developing complex pipelines, optimizing platform performance, and mentoring engineering teams.
Key Responsibilities:
Data Platform Leadership
- Provide technical leadership and best-practice guidance for enterprise data platform design and implementation.
- Own and evolve data architecture across Databricks and Microsoft Fabric.
- Drive technical standards for data engineering, modelling, governance, documentation, and operational excellence.
- Partner with business stakeholders to translate business objectives into scalable data solutions.
Data Engineering & Integration
- Design, build, and maintain robust data pipelines supporting batch, incremental, CDC, and streaming workloads.
- Integrate data from POS, ERP, APIs, cloud platforms, and other enterprise systems.
- Implement scalable ingestion, transformation, and distribution frameworks.
- Optimize workflows for reliability, performance, and cost efficiency.
Data Modelling & Analytics Enablement
- Design and maintain dimensional data models, including star and snowflake schemas.
- Develop reusable data products that support reporting, analytics, and self-service BI.
- Ensure data structures align with business processes and analytical requirements.
Data Quality, Performance & Governance
- Establish data quality frameworks, automated testing, lineage, and monitoring capabilities.
- Optimize SQL workloads, Spark jobs, and platform performance.
- Drive metadata management, documentation, and governance practices.
- Support DevOps, CI/CD, and release management processes.
Team Collaboration & Mentorship
- Mentor engineers and promote engineering best practices.
- Contribute to knowledge sharing and continuous improvement initiatives.
- Collaborate effectively with business analysts, BI developers, solution architects, and platform teams.
Required Experience:
- 7+ years of experience in Data Engineering, Data Platform Development, or related disciplines.
- Proven experience designing and implementing enterprise-scale data solutions.
- Strong experience building modern data platforms and analytics ecosystems.
- Experience working within retail, POS, or consumer-facing business environments is highly desirable.
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