Senior Data Platform Engineer
Jobleads-US
Lead with Purpose. Partner with Impact.
We are seeking a seasoned Databricks Data Engineer with expertise in Azure cloud services and the Databricks Lakehouse platform. The role involves designing and optimizing large-scale data pipelines, modernizing cloud-based data ecosystems, and enabling secure, governed data solutions. Strong skills in SQL, Python, PySpark, ETL/ELT frameworks, and experience with Delta Lake, Unity Catalog, and CI/CD automation are essential.
What you’ll Do:
- Design, build, and optimize large-scale data pipelines on the Databricks Lakehouse platform, ensuring reliability, scalability, and governance.
- Modernize the Azure-based data ecosystem, contributing to cloud architecture, distributed data engineering, data modeling, security, and CI/CD automation.
- Utilize Apache Airflow and similar tools for orchestration and workflow automation.
- Work with financial or regulated datasets, applying strong compliance and governance practices.
- Develop and optimize ETL/ELT pipelines using Python, PySpark, Spark SQL, and Databricks notebooks.
- Design and optimize Delta Lake data models for reliability, performance, and scalability.
- Implement and manage Unity Catalog for RBAC, lineage, governance, and secure data sharing.
- Build reusable frameworks using Databricks Workflows, Repos, and Delta Live Tables.
- Create scalable ingestion pipelines for APIs, databases, files, streaming sources, and MDM systems.
- Automate API ingestion and workflows using Python and REST APIs.
- Support data governance, lineage, cataloging, and metadata initiatives.
- Enable downstream consumption for BI, data science, and application workloads.
- Write optimized SQL/T-SQL queries, stored procedures, and curated datasets for reporting.
- Automate deployments, DevOps workflows, testing pipelines, and workspace configuration.
What You Bring:
- 8+ years of experience designing and developing scalable data pipelines in modern data warehousing environments, with full ownership of end-to-end delivery.
- Expertise in data engineering and data warehousing, consistently delivering enterprise-grade solutions.
- Proven ability to lead and coordinate data initiatives across cross-functional and matrixed organizations.
- Advanced proficiency in SQL, Python, and ETL/ELT frameworks, including performance tuning and optimization.
- Hands‑on experience with Azure, Snowflake, and Databricks, and integration with enterprise systems.
Vacancy posted 2 days ago
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