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.

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:

• 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 leadership experience in architecting/deploying highly scalable and recoverable data solutions
• 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 in database platforms (SQL Server/Always On, Oracle RAC, PostgreSQL, AWS RDS)
• 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 (RedShift, EMR, Dataiku, Tableau, Presto)
• Extensive experience utilizing management configuration tools (Ansible, Puppet, Terraform, CF) to manage data platforms at scale

CORE COMPETENCIES:

• Ability to convey technical solutions to the entire organization and experience working with senior leaders across the firm to leverage technology to drive positive business outcomes
• Highly collaborative with experience in leading and influencing teams
• Demonstrated knowledge and understanding of the regulatory, security, privacy and risk safeguards required of a global financial institution
• Outstanding attention to detail combined with the ability to see the big picture
• Ability to learn quickly and adapt to a changing environment; proactive in seeking out information when necessary

• Design and lead Disaster Recover solutions ensuring that the Database platforms support the RTO/RPO of the associated application environments
• 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 effectivenes