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Data Quality Engineering Manager
Company | LPL Financial |
Address | , Austin, Tx |
Employment type | |
Salary | $108,200 - $162,300 a year |
Expires | 2023-07-15 |
Posted at | 1 year ago |
Are you a team player? Are you curious to learn? Are you interested in working in meaningful projects? Do you want to work with cutting-edge technology? Are you interested in being part of a team that is working to transform and do things differently? If so, LPL Financial is the place for you!
Excited to learn more? If so, then this could be the role for you!
LPL Financial (Nasdaq: LPLA) was founded on the principle that the firm should work for the advisor, and not the other way around. Today, LPL is a leader* in the markets we serve, supporting more than 18,000 financial advisors, 800 institution-based investment programs and 450 independent RIA firms nationwide. We are steadfast in our commitment to the advisor-centered model and the belief that Americans deserve access to personalized guidance from a financial advisor. At LPL, independence means that advisors have the freedom they deserve to choose the business model, services, and technology resources that allow them to run their perfect practice. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors, so they can take care of their clients.
Job Overview:
We are seeking a seasoned professional with a strong focus on data quality engineering to lead our 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:
- Represent the data quality team in executive meetings and provide progress updates
- Lead the data quality engineering team and drive the overall data quality strategy
- Stay current with industry trends and best practices in data management and engineering
- Develop and maintain data quality infrastructure and tools for CI/CD processes and data pipelines
- 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.
- Analyze and report on data quality metrics, identifying areas for improvement
- Manage the data quality engineering budget and resources
- Mentor and train team members on data engineering, data quality techniques, and best practices
- Develop and implement data quality plans for data warehousing, ETL, data pipelines, and data governance
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
- Strong technical background in data warehousing, ETL, data pipelines, and data governance
- 8+ years of experience in data engineering and data quality, with at least 5 years in a management role
Core Competencies:
- 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.
- Excellent leadership, communication, and problem-solving skills
Preferences:
- Experience with data quality tools and methods
- Strong experience in implementing CI/CD practices in data engineering projects
- Strong experience with AWS (Glue, Eventbridge, Databrew, Airflow etc)
- Proficiency in data technologies such as Python, Spark, PySpark, Snowflake, Redshift, MapR, DynamoDB, Postgres, SQL Server, FiveTran, DBT, Kafka, Tableau, OBIEE and AWS Gateway
Pay Range:
The salary range is dependent on a number of factors, including the applicant’s skill, experience, and work location.
Why LPL?
At LPL, we believe that objective financial guidance is a fundamental need for everyone. As the nation’s leading independent broker-dealer, we offer an integrated platform of proprietary technology, brokerage, and investment advisor services. We provide you with a work environment that encourages your creativity and growth, a leadership team that is supportive and responsive, and the opportunity to create a career that has no limits, only amazing potential.
We are one team on one mission. We take care of our advisors, so they can take care of their clients.
Because our company is not too big and not too small, you can seize the opportunity to make a real impact. We are committed to supporting workplace equality, and we embrace the different perspectives and backgrounds of our employees. We also care for our communities, and we encourage our employees to do the same. This creates an environment in which you can do your best work.
Want to hear from our employees on what it’s like to work at LPL? Watch this!
We take social responsibility seriously. Learn more here
Want to see info on our benefits? Learn more here
Join the LPL team and help us make a difference by turning life’s aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE.
Information on Interviews:
LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant’s bank or credit card. Should you have any questions regarding the application process, please contact LPL’s Human Resources Solutions Center at (800) 877-7210.
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