Senior Data Platform Engineer
Kestra•Tempe, AZ
About The Position
Kestra Holdings is seeking a seasoned Databricks Data Engineer with expertise in Azure cloud services and the Databricks Lakehouse platform. The role designs and optimizes large-scale data pipelines, modernizes cloud-based data ecosystems, and enables secure, governed data solutions. It requires strong skills in SQL, Python, PySpark, and ETL/ELT frameworks, as well as experience with Delta Lake, Unity Catalog, and CI/CD automation. The position works with financial or regulated datasets and supports downstream BI, data science, and application workloads.
Requirements
- 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.
Responsibilities
- Design, build, and optimize large-scale data pipelines on the Databricks Lakehouse platform for reliability, scalability, and governance.
- Modernize the Azure-based data ecosystem, contributing to cloud architecture, distributed data engineering, data modeling, security, and CI/CD automation.
- Use Apache Airflow and similar tools for orchestration and workflow automation.
- Apply compliance and governance practices when working with financial or regulated datasets.
- 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.
- Lead and coordinate data initiatives across cross-functional and matrixed organizations.
Benefits
- Competitive pay and benefits with a large employer.
- 401(k), health insurance, and a competitive benefits package.
- Supportive, collaborative environment committed to professional excellence.
- Opportunities for training, development, and long-term growth within the firm.
- Tuition reimbursement for qualified expenses.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Upload and Match Resume
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
