Senior Data Platform Engineer

• 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.

Do you have experience in Spark?, 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., * 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.

Internal Application Policy: Internal applicants must be in good standing and have a minimum of 1 year of service with Kestra. Internal applicants must also have a minimum of 1 year service in current role unless approved by EVP.

Pulled from the full job description

• Tuition reimbursement
• 401(k)
• Health insurance, * Competitive pay and benefits with a large employer (over 1600 employees nationwide)
• 401(k), health insurance, and a competitive benefits package
• Work in a supportive, collaborative environment committed to professional excellence
• Help clients navigate meaningful financial decisions with confidence
• Opportunities for training, development, and long-term growth within the firm
• Tuition reimbursement for qualified expenses

Kestra Holdings offers industry-leading wealth management platforms for independent wealth management professionals nationwide. Kestra is dedicated to empowering independent financial professionals-including traditional and hybrid RIAs-to grow their businesses and deliver exceptional client service. We combine advanced business management technology with personalized consulting to provide unmatched scale, efficiency, and support. Our advisor-focused culture is built on innovation and advocacy, enabling advisors to offer comprehensive securities and investment advisory solutions to their clients.