LPL Financial
Principal Cloud Data Engineer
LPL Financial, Austin, Texas, us, 78716
Are you a team player? Are you curious to learn? Are you interested in working on 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!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.Job Overview:As a Principal Cloud Data Engineer, you will be responsible for building and maintaining a complete data ecosystem using cloud-based data lake/warehousing technologies. In this role, you will leverage your strong data platform and data architecture skills to iteratively implement data-intensive solutions and drive efficiency through project leadership and a long-term vision. Build a Data Analytics Platform with cutting-edge technologies guided by principles of Agility, DevSecOps, Infrastructure as a code, and continuous innovation.Responsibilities:Assist in the decision-making process related to the selection of software architecture solutionsImplement architectures to handle web-scale data and its organizationExecute strategies that inform data design and architecture partnering with enterprise standardsBuild robust data pipelines on the public Cloud using Airflow, AWS EMR, Glue, Kinesis, Kafka, Lambda or other technologiesOwnership of design and implementation of scalable and fault tolerant ETL Pipelines on Big Data Platform to store and process terabytes of contract information from upstream sources with high availabilityDeep expertise in SQL language, Python, Hadoop ecosystem, and/or Spark ecosystem. Strong experience with writing complex programs, implementing architectures, and enabling automation in these environmentsLead requirement analysis and design discussions with users, technical and business stakeholders and participate in all agile ceremonies with teamsVery strong understanding of large databases/data warehouses and data architectureUnderstanding Sec/DevOps practices and tooling, with an emphasis on continuous implementation, deliver within a highly regulated environment.QA processes in a Scaled Agile Framework (SAFe) methodology.Strong verbal and written communication skills with executive presence.Communicates status of technology product and backlog readiness to outside team membersCreates best practices for team members to follow to meet key objectives of the technology platform.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:5+ years of experience in data modeling, data warehousing, and big data architectures on AWS and Snowflake8+ years of data engineering experience using SQL and ETL experience5+ years of experience with Glue, S3, EMR, RDSAbility to learn new technologies such as DBTCore Competencies:Capable of effectively planning, prioritizing, and executing tasks utilizing resources and toolsIs visible, vocal, and objective. Exemplary collaboration, interpersonal, and presentation skillsSuperior skill and ability in multi-tasking and appropriate prioritizationHas technical vision and can drive best-in-class solutionsExcellent verbal and written communication skills, both technical and non-technicalStrong analytical and problem-solving skills.Motivated and driven by achieving strategic technical solutionsPreferences:Hands-on experience with the creation and automation of Data pipelines and Machine learning pipelines, model training, testing, and deployment using Airflow, EMR, Glue, etc.Bachelor’s degree in computer science, Engineering, or related fieldHVR and/or FiveTran experience highly preferredDevOps experience with Cloud Formation, Data, and ML pipeline experience.Pay Range:$127,040-$190,560/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!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 hereWant to see info on our benefits? Learn more hereJoin 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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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:5+ years of experience in data modeling, data warehousing, and big data architectures on AWS and Snowflake8+ years of data engineering experience using SQL and ETL experience5+ years of experience with Glue, S3, EMR, RDSAbility to learn new technologies such as DBTCore Competencies:Capable of effectively planning, prioritizing, and executing tasks utilizing resources and toolsIs visible, vocal, and objective. Exemplary collaboration, interpersonal, and presentation skillsSuperior skill and ability in multi-tasking and appropriate prioritizationHas technical vision and can drive best-in-class solutionsExcellent verbal and written communication skills, both technical and non-technicalStrong analytical and problem-solving skills.Motivated and driven by achieving strategic technical solutionsPreferences:Hands-on experience with the creation and automation of Data pipelines and Machine learning pipelines, model training, testing, and deployment using Airflow, EMR, Glue, etc.Bachelor’s degree in computer science, Engineering, or related fieldHVR and/or FiveTran experience highly preferredDevOps experience with Cloud Formation, Data, and ML pipeline experience.Pay Range:$127,040-$190,560/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!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 hereWant to see info on our benefits? Learn more hereJoin 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.
#J-18808-Ljbffr