Cloud Data Technical Lead
Location: Austin, Texas; Fort Mill, South Carolina
Other Locations: SC-Fort Mill , CA-Remote
Job ID: R-026885
Overview
LPL is an entrepreneurial, transformative financial services company, driving growth and exciting possibilities for our clients, their customers, and our own people. This is where you can dream up new ideas for financial services, deliver solutions on modern platforms, and leverage digital-first technologies – all as we become a cloud-based technology organization. Join us and discover everything you can touch with the nation’s largest independent broker-dealer firm and a Fortune 500 company.
- Full Time
- Level: VP
Success Profile
What makes a good Tech Professional at LPL Financial? Check out the traits we’re looking for to see if you have the right mix.
- Communicator
- Proactive
- Self-starter
- Collaborative
- Curious
- Team player
Our Culture
Collaborative. Welcoming. Entrepreneurial. Mission-driven.We’ve created an amazing environment at LPL, but we’re not done yet. Join us on an exciting transformation as we embrace our inner-fintech and define the future of wealth management technology.
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Benefits
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Maternity & Paternity Leave
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401(k) & ESPP
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Professional Development
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Flexibility
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Health & Wellness Programs
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Agile Environment and Collaboration
Job Description
Responsibilities
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:
As a Cloud Data Technical Lead, 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 Data Analytics Platform with cutting-edge technologies and 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 solutions
Implement architectures to handle web-scale data and its organization
Execute strategies that inform data design and architecture partnering with enterprise standards
Build robust data pipelines on the public Cloud using Airflow, AWS EMR, Glue, Kinesis, Kafka, Lambda or other technologies
Ownership of design & implementation of scalable & fault-tolerant ETL Pipelines on Big Data Platform to store & process terabytes of contract information from upstream sources with high availability
Deep expertise in SQL language, Python, Hadoop ecosystem and/or Spark ecosystem. Strong experience with writing complex programs, implementing architectures, and enabling automation in these environments
Lead requirement analysis and design discussions with users, technical and business stakeholders and participate in all agile ceremonies with teams
Very strong understanding of large databases/data warehouses and data architecture
Understanding 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 members
Creates best practices for team members to follow to meet key objectives of the technology platform.
What are we looking for?
We want strong collaboratorswho 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:
10+ years in a leading strong technical teams in an enterprise
5+ years of experience in data modeling, data warehousing, and big data architectures using Hadoop /EMR, spark, Redshift, Snowflake, No- SQL Cassandra or similar large scale distributed systems
5+ years utilizing large-scale Analytic/MPP data warehouse platform (Redshift, Snowflake, etc.)
5+ years of experience in a data engineering role to build Highly scalable large data pipelines
Highly proficient working in AWS cloud environment (S3, Cloud Formation, RDS, AWS Glue, Athena, EMR, Kinesis, Redshift)
Core Competencies:
Bachelor's Degree in Computer Science, Engineering, or related field
Capable of effectively planning, prioritizing and executing tasks utilizing resources and tools
Is visible, vocal, and objective. Exemplary collaboration, interpersonal, and presentation skills
Superior skill and ability in multi-tasking and appropriate prioritization
Has technical vision and can drive best in class solutions
Excellent verbal and written communication skills, both technical and non-technical
Strong analytical and problem-solving skills.
Motivated and driven by achieving strategic technical solutions
Preferences:
Cloud Architecture certification preferred
DevOps experience with Cloud Formation, Data, and ML pipeline experience.
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.
Pay Range:
$131,400-$197,100/yearWhy 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.