SourcingXPress
Website:
sourcingxpress.com
Job details:
Company: Aequus Executive Search Partners LLP
Website: Visit Website
Business Type: Enterprise
Company Type: Service
Business Model: B2B
Funding Stage: Private Equity
Industry: Information Technology
Job Description
We are assisting our client with their search for a
Senior Data Platform Engineer (Senior Databricks Engineer) to become a cornerstone of their Data & Analytics team. In this role, you will own the design and delivery of their Databricks-first data platform — building high-performance data pipelines, architecting scalable Lakehouse solutions, and championing engineering best practices across the team. You will work closely with business analysts, a data modeler and business stakeholders to turn raw data into reliable, production-grade analytics products.
Mandatory Requirement
- Databricks Certified Data Engineer Professional or Associate (mandatory).
- Microsoft Certified: Azure Data Engineer Associate (mandatory).
Required Skills And Qualifications
- 9+ years of hands-on experience in Data Engineering roles.
- Deep expertise in Databricks — Delta Lake, Unity Catalog, Delta Live Tables, Workflows, Clusters.
- Advanced PySpark and Python skills for large-scale distributed data processing.
- Strong SQL skills: query authoring, performance tuning, and data modeling.
- Experience with Azure Data Factory, ADLS Gen2, Azure Synapse Analytics.
- Hands-on experience with Azure DevOps CI/CD and Infrastructure as Code (Terraform or Bicep).
- Strong understanding of Data Warehousing concepts, dimensional modeling, and Data Lakehouse patterns (Medallion architecture).
- Experience with Structured Streaming or other real-time data processing frameworks.
Good to have
- Experience with Microsoft Purview for data cataloguing and governance.
- Familiarity with dbt (data build tool) for SQL-based transformation workflows.
- Knowledge of MLflow and Databricks Feature Store for ML engineering integration.
- Exposure to Databricks Asset Bundles (DABs) for project packaging and deployment.
- Experience with Azure Function Apps, Logic Apps, or Event Hubs for event-driven architectures.
- Background in data mesh or data product thinking.
Click on Apply to know more.