Job Details

AVP, AWS Big Data Lead

LPL Financial
Austin, Texas, United States
Are you looking for an opportunity to work with the big data and analytics teams to lead the design, engineer and develop capabilities in the cloud that aligns with transformation and business strategies and be part of a supportive team environment that thrives on innovation?If so, then this could be the role for you!LPL Financial is one of the nation's leading financial services companies and a publicly traded company under ticker symbol LPLA. We support over 18,000 financial professionals-including over 14,000 independent advisors, more than 700 financial institutions, and over 4,000 institutional clearing and technology subscribers. We enable advisors to focus on their clients by reducing the complexity of running their practice and we support their business by offering enabling technology, comprehensive clearing and compliance services, practice management programs and training, and independent research. At LPL, we take care of our advisors, so they can take care of their clients. And Technology is at the center of our mission.We are looking for an experiencedAWS/Big Data Lead to join the Data & Analytics team, a team of data and technology professionals who define, lead and execute the strategic data for LPL Financial. The successful candidate will build data solutions using state of the art technologies to acquire, ingest and transform big datasetsAs an AWS/Big Data Lead, you will partner with our users and other data product teams to understand their needs and architect/build impactful data/analytics solutions. You will lead the design and build of data pipelines to support applications and data solutions following software engineering best practicesResponsibilities:Work with development teams and other project leaders/stakeholders to provide technical solutions that enable business capabilitiesExecute strategies that inform data design and architecture partnering with enterprise standardArchitect, design and develop data applications using big data technologies (Hadoop, AWS) to ingest, process, and analyze large disparate datasetsBuild robust data pipelines on Cloud using Airflow, Spark/EMR, Kinesis, Kafka, Lambda or other technologiesBuild the infrastructure required for optimal extraction, transformation, and loading of data from various data sources using SQL and AWS 'big data' technologies.Work with data and analytics experts to strive for greater functionality in our data systems.Implement architectures to handle large scale data and its organizationExecute strategies that inform data design and architecture partnering with enterprise standardWork across teams to deliver meaningful reference architectures that outline architecture principles and best practices for technology advancementWhat does your success look like in the first 90 days?Understand LPL data ecosystem and current data ingestion/distribution patternsBuild understanding on LPL processes, strategic plays, and key outcomesBuild partnership with other data product and functional teams and start aligning to data and analytics roadmapHave a fully functional environment setup for the development activityWhat 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:BS in Computer Science, Applied Mathematics, Physics, Statistics or area of study related to data sciences and data mining or relevant experience7+ years of solid development in big data stack and programming experience in Python and Scala7+ years of experience in data modeling, data warehousing, and big data architectures using Hadoop /EMR, spark, Redshift, Snowflake, No- SQL, or similar large scale distributed systems5+ years of experience in a data engineering role to build Highly scalable large data pipelinesExperience using JIRA and Agile Project Management softwareExperience with microservices development and Docker/KubernetesCore Competencies:Hands-on experience with the creation and automation ofenterprise data pipelines and orchestration framework, Spark, Lambda on Cloud/hybrid / On-prem deployment architectureExperience with orchestration framework like AirflowDeep expertise in (at least one) programming language, Python/ScalaStrong experience with writing complex programs, implementing architectures, and enabling automation in these environmentsExperience in CI/CD pipeline and code repositories like GitHub or Bit BucketProficient in application/software architecture (Definition, Business Process Modeling, etc.)DevOps experience with Terraform, Data, and ML pipeline experiencePreferences:Robust analytics and reporting skills - hands-on Experience in BI Tools like Tableau, Power BIWhy 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 areone 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 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 .

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