Principal AWS Data Architect (REMOTE)

Job ID R-027174 Date posted 01/20/2023

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?

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:

The Principal Data Architect is responsible for the design, develop, and implement end-to-end data solutions in AWS supporting our extraordinary company growth projections and digital experiences vision.

Responsibilities:

• Design, develop, and implement end-to-end data solutions in AWS  ( Data access, Data Storage, Data Retrieval, Distributed Computing, AWS Service Selection, Large-Scale System Design, System Security, Networking, and Cloud-Specific Patterns and Technologies)

• Architect and implement Event streaming, & micro services like function as a service, containers, and managed databased in AWS native functionality

• Experience in developing Conceptual, Logic & Physical AWS native data platform solutions.

• Prepare documentation and designs for AWS data solutions and applications

• Design and implement distributed analytics platforms for analyst teams

• Design and implement high velocity streaming solutions using Amazon Kinesis, SQS, SNS and SMS

• Migrate data from traditional relational database systems to AWS relational databases such as Amazon RDS, Aurora, and Redshift

• Implement ad-hoc analysis solutions using Athena

• Propose architectures that consider cost/spend in AWS and develop recommendations or plans to right-size AWS data infrastructure

• Hands-on experience with on-premises to cloud migration would be additional plus.

• Contribute to establishing broader enterprise architecture principles, standards, and measurements that drive modernization as well as consistency and efficiency into the technology ecosystem.

• Contribute to developing the broader governance and control structure that ensures alignment to target-state and architecture principles.

• Ensures all technical leaders have architected resilient and extensive systems. May oversee technology assessments, technology strategy reviews, and provide internal consulting to ensure all areas are practicing sound architecture hygiene.

• Translates complex ideas, technology, and programs into language senior management can relate to and performs as a key influencer on technical decisions that affect the business on a long-term basis.

• Leads the Development of metrics and scorecards to influence the technology teams on industry best practices for cloud development.

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:

• 8+ years of hands-on design and implementation experience in data architecture landscape

• Previous experience migrating legacy platform to big data platform

• 5+ years of experience in designing and building SQL, no-SQL, big data, GraphDB, APIs, Kafka, and streaming solutions

• 3+ years of experience in the following technical disciplines: application development, middleware, database management or operations, security, integration

Core Competencies:

• Proficiency in defining current and future state Data Architecture models

• In depth knowledge of cloud data platforms AWS (Primary) and Azure (Secondary)

• Experience and expertise designing, implementing or maintaining the following: Master Data Management solutions, Data Marketplace solutions, Data Science Platforms and Productizing Data, Enterprise Analytics solutions

• Experience/exposure with one or more of the following Neural Networks, machine learning, deep learning and NLP tools and frameworks

• Experience in migrating monolith on-prem applications to cloud using Refactoring, Rearchitecting and Re-platforming approach including 12 factor

• Experience in DevOps tools, automated deployments and containerization

• Excellent communication skills that translate business problems in technical solutions

• Consult with customers to solve business problems by adapting current technology and/or capitalizing on emerging technology for competitive advantage to meet the strategic objectives

• Conduct demonstrations and presentations to executive management of prototypes and proof-of-concepts.

• Understanding of agile methods (SAFe) and processes, and capability of supporting agile product teams by providing advice and guidance on opportunities, impact and risks, taking account of technical and architectural debt

Preferences:

• Previous proven Data Architecture experience to include contributing to and/or progressing the following: Enterprise Data Modeling, Information Architecture Modeling, Information Analysis Modeling, Physical Data Modeling, Enterprise Data Governance Functions and Frameworks - Standards, Policies, Processes, QA, Enterprise Data Technology Landscape, Enterprise Information Analysis Maps, Reference, Master, Meta Data and Document Practices, Data Virtualization, Data Streaming, Operational Data Store, Data Warehouse, Data Management Practice including Stewardship and Life Cycle Management

• AWS Data Architecture Certifications

• Cloud Architecture Certifications

Location: Remote USA / WFM

Pay Range:

$125,400-$188,100/year

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.

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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.