AVP, Software Engineering Data Engineer with Python and AWS

Job Overview:

Responsibilities:

• Leadership: Build, coach, and develop engineers; set a culture of ownership, craftsmanship, and customer empathy. Hire and grow leaders.
• Modernization: Drive a pragmatic roadmap to improve architecture, reduce risk, retire debt, and migrate toward durable cloud patterns—without “big bang” disruption to the business.
• Quality at scale: Establish engineering standards for reliability, security, observability, testing, and operational readiness in business-critical systems.
• Cross-functional partnership: Work tightly with Product, Architecture, Platform, Security, Operations, and business stakeholders to prioritize outcomes, manage trade-offs, and communicate clearly upward and outward.
• AI, two ways: For customers and operations: identify high-value workflows (onboarding, exceptions, validations, investigations, decision support) where intelligent automation improves speed, accuracy, and auditability—within LPL governance. For engineering: accelerate delivery responsibly (design assistance, code/test/docs workflows) with standards that protect quality, security, and compliance.
• What you will bring (hands-on to lead credibly) You are expected to be technically credible with complex enterprise systems—even as your primary job is leading the team. You should be comfortable diving into architecture reviews, critical incidents, and the hardest design decisions.
• What are we looking for?
• We’re looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.

Requirements:

• 12+ years software engineering experience in enterprise environments; 5+ years leading engineering teams (managers and senior ICs).
• Track record shipping and operating mission-critical applications; experience in regulated / financial services strongly preferred.
• Demonstrated data engineering experience: designing and operating batch and/or event-driven pipelines, integrations, and data services for mission-critical workflows.
• Strong SQL and RDBMS skills: data modelling, query optimization, performance tuning, and data quality/validation practices.
• Demonstrated success leading modernization programs (incremental migration, platform patterns, service boundaries, strangler approaches) while keeping production stable. ave ability to introduce AI-enabled capabilities and/or AI-accelerated engineering with measurable impact and appropriate controls.
• Hands-on Python development (e.g. FastAPI, Flask, or Django ) for services and data-oriented workloads.·
• Cloud-native delivery on AWS (e.g. S3, Lambda, RDS, EKS ) with attention to scalability, security, and operations.
• How you work Systems thinking, decisive prioritization, calm under ambiguity, and executive-ready communication. You raise the bar by clarifying standards, not by adding process for its own sake.
• Core Competencies:
• A healthier technical foundation: clearer ownership, better observability, fewer repeat incidents, faster safe releases.
• A team that attracts and retains strong engineers—and ships modernization milestones on a credible cadence.
• A small set of high-confidence AI wins (operations and/or product) with documented guardrails and measurable outcomes.
• Preferences:
• Domain familiarity with advisor/practice onboarding, compensation, registration/licensing workflows, or fee/billing platforms.
• Experience with distributed systems, APIs, event-driven patterns, and pragmatic microservices where they earn their complexity.
• Background shaping CI/CD, automated testing strategy, SRE practices, incident learning, and engineering metrics.
• Familiarity with model/workflow governance, monitoring, and responsible AI practices in enterprise settings.
• Angular/React and. NET/C# APIs where they support data and application surfaces.
• AWS OpenSearch or similar enterprise search/indexing.
• LPL Global Business Services, LLP - PRIVACY POLICY

Preferred Qualifications

• Track record shipping and operating mission-critical applications; experience in regulated / financial services strongly preferred.