Senior Analyst, Investment Solutions & Due Diligence

Kestra•Austin, TX

About The Position

Kestra Financial is a wealth management platform 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 Lead with Purpose. Partner with Impact. At Kestra Holdings, we don’t just support financial advisors—we help them thrive. Our service model is human-led, tech-enabled, and purpose-driven, empowering advisors to deliver exceptional outcomes for their clients. We are seeking a highly skilled Databricks Data Engineer with deep expertise in Data engineering, Azure cloud services, and Databricks Lakehouse technologies.

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, 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

Benefits

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

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