VPII Distinguished Data Engineer

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Why Advisor Experience Technology? Financial Advisors are demanding personalized experiences that allow them to serve the specific needs of their customers better. Advisors expect seamless and user-friendly access to tools and information that they rely on to run their businesses and serve their investor clients. The Advisor Experience technology team is critical to delivering this vision, and we will do this by empowering our workforce to align with our strategy and making substantial investments in technology modernization. You will be part of a highly motivated engineering team leveraging cutting-edge technology to deliver world-class products and services to our advisor clients. Job Overview The VP II Distinguished Data Engineer will provide technical leadership to the data engineering team and collaborate with senior engineers within the team and across multiple disciplines within LPL Financial. This position is an individual contributor role and is highly technical. It requires extensive knowledge of complex technical principles, practices, and procedures related to all aspects of data engineering and the ability to perform hands-on engineering. The successful candidate will lead efforts to design, implement, maintain, test, deploy, monitor, and enhance applications, systems, subsystems, and processes. This individual will be responsible for developing and executing projects that enable scalable ingestion, processing, storage, and distribution of large volumes of data through streaming and API’s. The VP II Distinguished Data Engineer will also participate in the proof of concepts and prototypes as needed. This role will also actively mentor junior staff members and help grow the data engineering team. Responsibilities • Lead the development of end-to-end data pipelines including ETL/ELT, data quality, data governance, metadata management, data modeling, and master data management. • Partner with various teams such as enterprise architecture, product management, and application development to identify requirements for new data initiatives. • Develop scalable solutions and ensure high standards and compliance throughout the software development lifecycle. • Collaborate closely with cross-functional teams and executive sponsors to ensure the success of data initiatives. • Identify opportunities to leverage existing capabilities to streamline processes and improve efficiency. • Stay abreast of emerging technologies and trends in data engineering, recommending appropriate tools and techniques to the organization. Requirements Bachelor's degree or equivalent experience required.
Minimum of 10 years of experience designing and implementing large-scale distributed systems
Minimum of 5 years leading application modernization initiatives
Experience with Agile development process
Snowflake experience.
Technical Competencies: Strong understanding of data modeling concepts of different normalization methods, and hands-on working experience in OLTP/OLAP environments
Proficiency in one or more programming languages (e.g., Python .NET) and API management
Hands-on experience working with databases and SQL (e.g., Oracle DBMS, PostgreSQL, DynamoDB,MySQL etc).
Deep understanding of modern software/data management practices, including Domain-Based Design, DevSecOps, Continuous Delivery, and Agile methodologies, with an emphasis on Lean principles
Proficiency in architecting Event-Driven solutions encompassing event brokers, data streams, and serverless functions to sophisticated event processing and analytics using container and orchestration technologies, including but not limited to AWS Kinesis, Kafka, Glue, and AWS Lambda.
Core Competencies: Excellent communication skills, both written and verbal.
Ability to thrive in a fast-paced environment and adapt quickly to changing priorities
Proven ability to effectively communicate complex technical information to non-technical stakeholders.
Demonstrated track record of successfully leading and delivering complex data engineering projects.
Preferences: Financial industry experience, particularly in wealth management, securities, and trading.
AWS cloud architecture experience. AWS Solution Architect certification is a plus.
Pay Range: $156,225-$260,375/yearActual 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! Company Overview: LPL Financial Holdings Inc. (Nasdaq: LPLA) was founded on the principle that the firm should work for advisors and institutions, and not the other way around. Today, LPL is a leader in the markets we serve, serving more than 23,000 financial advisors, including advisors at approximately 1,000 institutions and at approximately 580 registered investment advisor ("RIA") firms nationwide. We are steadfast in our commitment to the advisor-mediated model and the belief that Americans deserve access to personalized guidance from a financial professional. At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients. Join LPL Financial: Where Your Potential Meets Opportunity At LPL Financial, we believe that everyone deserves objective financial guidance. As the nation’s leading independent broker-dealer, we offer an integrated platform of cutting-edge technology, brokerage, and investment advisor services.
Location:
New York

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