VPII, Database Administration Manager
Listed on 2026-01-17
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IT/Tech
Data Engineer, Cloud Computing
What if you could build a career where ambition meets innovation? At LPL Financial, we empower professionals to shape their success while helping clients pursue their financial goals with confidence. What if you could have access to cutting‑edge resources, a collaborative environment, and the freedom to make an impact? If you're ready to take the next step, discover what’s possible with LPL Financial.
JobOverview
The VPII, Infrastructure Engineering – Database will lead the platform engineering organization responsible for enterprise data platforms. As a senior leader in the I&O organization, you will have the opportunity to define/execute the database platform strategy/vision and roadmap for on‑prem and hybrid‑cloud. This role will define next‑generation cloud data architecture/platforms and be accountable for engineering highly scalable data solutions.
Responsibilities- Develop and lead the infrastructure platform engineering team responsible for enterprise data platform architecture and engineering
- Lead database platform transformation/modernization supporting always‑on enterprise applications and services
- Accelerate infrastructure transformation to provision / manage infrastructure through infrastructure as code (IaC) to enable self‑service and reduce handoffs
- Collaborate with IT stakeholders to develop, communicate and execute a multi‑year technology strategy to simplify architecture and delivery model
- Partner with architecture team to drive tool and data platform alignment to modern data architecture practices (modern data stack).
- Provide thought leadership for platform and data architecture as move transition to hybrid‑cloud
- Provide Tier 3 engineering support ensuring effective 24x7x365 support for assigned technology including vendor escalation
- Partner with Disaster Recovery and Business Continuity organizations to integrate disaster recovery processes with day‑to‑day technology engineering and operations
- Build / Maintain strong partnerships with IT stakeholders including Delivery Engineering, Application Development, Architecture, Security and Operations to ensure technology investment enables/drives business strategy
- Foster and drive organizational change through technology and process optimization
- Establish KPIs to measure organization performance and effectiveness
- Manage ongoing vendor relationships including evaluation products and services
- Develop / attract / retain top talent to build and maintain a world‑class organization
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- 10+ years of data solution architecture, design, development and platform engineering experience
- 10+ years of progressive leadership experience working within large, global financial institutions
- Demonstrated technology and people leadership experience in architecting/deploying highly scalable data solutions on‑prem and cloud
- Proven track record of infrastructure transformation focused on infrastructure‑as‑code (IaC) for end‑to‑end infrastructure deployment automation
- Proven track record of architecting modern data integration frameworks, data modeling, ETL/ELT workflows, highly scalable distributed systems using open source and emerging data architecture designs and patterns.
- Proven expertise in core AWS services (S3, EFS, EC2, EBS, IAM, ECS, Lambda)
- Proven track record leading migration of data platforms to new data centers and/or AWS
- Proven expertise to evaluate, prototype, and onboard cloud data platforms
- Proven expertise in database platforms (SQL Server/Always On, ORACLE/RAC, Postgre
SQL), AWS RDS, Dynamo DB - Proven expertise in cloud data services such as OLTP, ODS, data lake and analytics platforms
- Proven expertise in data warehousing, big data and analytics platforms (Red Shift, EMR, Dataiku, Tableau, Presto)
- Proven track record developing,…
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