VPII, Head of Data Quality Engineering

Job Overview:

We are seeking a seasoned professional with a strong focus on data quality engineering to lead our technology data quality engineering efforts across the organization. The ideal candidate will have extensive experience in AWS, Snowflake, data pipelines, and other related technologies, as well as a proven track record in leading data quality efforts and managing teams of data engineers. The leader will be responsible for driving the overall data quality strategy and direction, overseeing the data quality engineers, and collaborating with cross-functional teams to ensure the highest level of data quality for our systems

Responsibilities:

• Lead the data quality engineering team and drive the overall data quality strategy

• Develop and implement data quality plans for data warehousing, ETL, ELT, data pipelines, and data governance

• Collaborate with cross-functional teams, including development, architecture, and operations, to identify and resolve data quality issues across the entire data pipeline, from ingestion to consumption.

• Develop and maintain data quality infrastructure and tools for CI/CD processes and data pipelines

• Analyze and report on data quality metrics, identifying areas for improvement

• Stay current with industry trends and best practices in data management and engineering

• Mentor and train team members on data engineering, data quality techniques, and best practices

• Represent the data quality team in executive meetings and provide progress updates

• Manage the data quality engineering budget and resources

What are we looking for?

We want strong collaborators who can deliver a world-class client experience. We are looking for people who thrive in a fast-paced environment, are client-focused, team oriented, and are able to execute in a way that encourages creativity and continuous improvement.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field

• Minimum of 12 years of experience in data engineering and data quality, with a minimum of 6 years in a management role

• Strong technical background in data warehousing, ETL, ELT, data pipelines, and data governance

Core Competencies:

• Excellent leadership, communication, and problem-solving skills

• Experience in working with Star Schema, ODS, multi-dimensional models, and slowly changing dimensions

• Familiarity with ETL frameworks, Change Data Capture, DataMart, and Data models.

• Experience in the financial service industry is preferred

Technical Competencies:

• Experience with data quality tools and methods

• Proficiency in data technologies such as Python, Spark, PySpark, Snowflake, Redshift, MapR, DynamoDB, PostGres, SQL Server, FiveTran, DBT, Kafka, Tableau, OBIEE, and AWS Gateway

• Strong experience with AWS (Glue, Eventbridge, Databrew, Airflow, etc)

• Strong experience in implementing CI/CD practices in data engineering projects

 

Pay Range:

$195,800-$326,400/year

 

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!

 

Company Overview:

LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace. LPL supports over 29,000 financial advisors and the wealth-management practices of 1,100 financial institution, servicing and custodying approximately $1.9 trillion in brokerage and advisory assets on behalf of approximately 7 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses.

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.