Job Overview:We are seeking a senior technology professional to help define and execute the strategy for enterprise Data Engineering and Data Platform capabilities. This individual contributor role will drive the evolution of scalable, secure, and modern data platforms that support analytics, business intelligence, artificial intelligence, and data-driven decision making across the enterprise. The role is focused on Data Engineering, Data Platform Architecture, and Data Platform Modernization, with responsibility for advancing cloud-based data ecosystems, platform reliability, governance, and engineering excellence.
Responsibilities:- Define and execute strategic initiatives that advance enterprise data platform and data engineering capabilities.
- Design and implement scalable data platform architectures supporting analytics, reporting, AI, and business intelligence workloads.
- Lead modernization efforts across cloud data platforms, data warehouses, data lakes, and lakehouse environments.
- Establish and advance data mesh capabilities to improve data accessibility, ownership, and scalability across business domains.
- Partner with Enterprise Architecture, Security, Infrastructure, Product, and business stakeholders to align technology solutions with organizational priorities.
- Improve platform scalability, reliability, governance, security, observability, and operational effectiveness.
- Build and evolve enterprise ETL/ELT frameworks and data processing pipelines.
- Drive automation, Infrastructure as Code, CI/CD practices, and engineering efficiency improvements.
- Evaluate and implement AI-enabled engineering practices and emerging technologies that enhance platform operations and development productivity.
What Are We Looking For?We are looking for a technology professional who is motivated to pursue greatness, act with integrity, and is driven to help our clients succeed. The ideal candidate collaborates effectively across technical and business teams, seeks opportunities to win together, and contributes to a culture that helps create and share joy while delivering innovative, enterprise-scale data solutions.
Requirements:- 12+ years of technology experience with enterprise software, data engineering, or platform engineering environments.
- Proven experience designing, building, and supporting enterprise Data Engineering and Data Platform solutions.
- Experience designing and scaling modern data ecosystems supporting enterprise analytics and reporting capabilities.
- Experience with enterprise data platforms, data warehouses, data lakes, lakehouse architectures, data mesh frameworks, ETL/ELT pipelines, and data governance programs.
- Experience modernizing enterprise data architectures and supporting cloud transformation initiatives.
Preferences:- Strong AWS experience and hands-on knowledge of Snowflake, DBT, Terraform, Python, PostgreSQL, CI/CD practices, and Infrastructure as Code (IaC).
- Experience improving platform reliability, scalability, governance, and operational maturity.
- Experience implementing Data Mesh and Lakehouse strategies at enterprise scale.
- Familiarity with AI-assisted engineering tools such as Cursor, GitHub Copilot, or similar technologies.
- Experience applying AI capabilities within engineering organizations to improve delivery quality, operational efficiency, and engineering productivity.
Pay Range: $155,300.00 - $258,800.00
Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play - such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!
