Note: The job is a remote job and is open to candidates in USA. HireQ Talent is a fast-growing technology business operating in a highly regulated and data-rich environment. They are seeking a Senior Data Platform Engineer to design and build a modern enterprise data platform, influencing technical direction and delivering business-critical outcomes.
Responsibilities
- Design and implement a modern Microsoft Fabric data platform
- Lead the journey from early-stage capability to a fully production-ready environment
- Define scalable architecture patterns across warehouse, lakehouse and analytics layers
- Make key technical decisions that balance immediate delivery with future growth
- Build automated, resilient data pipelines
- Integrate data from databases, APIs, SaaS platforms and business applications
- Develop scalable ingestion, transformation and orchestration processes
- Implement monitoring, quality controls and operational excellence
- Create trusted semantic models and Power BI solutions
- Transform fragmented reporting into governed, reusable data products
- Enable executive reporting, operational analytics and future advanced analytics use cases
- Establish consistent business metrics and data definitions
- Introduce CI/CD, source control and automated deployment processes
- Implement governance, security and access control frameworks
- Establish documentation, standards and support models
- Shape the future roadmap of the organisation's data capability
Skills
- Significant experience in Data Engineering, Data Platform Engineering or a similar role
- Experience building production data warehouses, lakehouses or modern cloud data platforms
- Strong Microsoft Fabric expertise, including some of: OneLake, Fabric Lakehouse, Fabric Warehouse, Data Factory, Notebooks, Power BI, Semantic Models, Dataflows
- Advanced SQL skills
- Python and/or PySpark experience
- Strong dimensional modelling and data warehousing knowledge
- Experience building enterprise data pipelines and integrations
- Power BI development expertise, including DAX and performance optimisation
- Experience with Git, CI/CD and modern engineering practices
- Strong understanding of security, governance and data quality
- Excellent stakeholder engagement and communication skills
Company Overview