Engineer I, Data Warehouse

LPL Financial LLC; Hyderabad; On-site; INR 1,600,000 - 2,300,000; Full time

Job summary

LPL Financial LLC is seeking an Engineer I in Data Warehousing & Automation Engineering in Hyderabad. You will collaborate with data professionals to deliver warehousing initiatives, build data products in Snowflake/dbt, and implement robust data pipelines, governance, and quality checks to support decision-making and scalability.

The role emphasizes rapid prototyping, continuous improvement, and staying current with industry advances to augment our data stack and processes.

Qualifications

• 3+ years in data warehousing (on-prem and cloud) with 2+ years leading warehousing teams.
• Bachelor's in Data Science, CS or related field; Master's preferred.
• Hands-on with Snowflake and AWS S3 at minimum.
• Data governance and cataloging.
• Programming: Python and/or SQL.
• Pipeline development and orchestration: HVR, Airflow, Step Functions, dbt and others.
• DevOps for data: Terraform/CloudFormation, CI/CD, monitoring.
• Strong data modeling and secure data onboarding/governance.
• Experience with both batch and real-time data processing.
• Excellent communication and stakeholder management skills.

Responsibilities

• Engineer data warehousing solutions aligned with LPL's strategy.
• Develop data products in Snowflake and dbt ensuring quality and accessibility.
• Build data replication and transformation pipelines with HVR.
• Configure and manage HVR for performance and scalability.
• Automate data quality checks and monitoring procedures.
• Optimize Snowflake data warehouse, data marts, and related apps for performance.
• Ensure data security, compliance, and governance across warehousing processes.
• Promote rapid prototyping and continuous improvement of the data stack.
• Stay updated on industry and tech advances; share insights with the team.

Skills

Data warehousing

SQL/Python

Data governance

DevOps for data

Communication

Education

Bachelor's degree in Data Science or Computer Science

Master's degree preferred

Tools

Snowflake

AWS S3

HVR

dbt

Airflow

Step Functions

Terraform/CloudFormation

GitHub Actions/Jenkins

Dynatrace

Datadog

Job description

Where Ambition Meets Innovation At LPL's Global Capability Center, you'll find a collaborative culture where your voice matters, integrity guides every decision, and technology fuels progress. Your skills, talents, and ideas will redefine what's possible. LPL's success reflects its exceptional employees, who together pursue one noble purpose: empowering financial advisors to deliver personalized advice for all who need it. We're proud to be expanding and reaching new heights in Hyderabad. Join us as we create something extraordinary together.

Job Overview

As an Engineer I in Data Warehousing & Automation Engineering, you will partner with a team of data professionals to deliver data warehousing initiatives across the LPL Financial. This role is pivotal in building our data solutions as strategic assets enhance decision-making, drive innovation, and ensuring data quality and governance.

Responsibilities

• Engineer solutions to deliver on LPL's data warehousing strategy


• Develop data products in Snowflake and dbt, ensuring seamless data flow, quality and accessibility


• Develop data replication and transformation pipelines leveraging solutions such as HVR.


• Configure and manage HVR instances for optimal performance and scalability


• Develop, automate and implement data quality checks and monitoring procedures


• Manage and optimize Snowflake data warehouse, data mart and application-based solutions to ensure high performance, scalability, and reliability


• Ensure data security, compliance, and governance are integrated into all data warehousing processes to meet regulatory and organizational standards


• Emphasize rapid prototyping and continuous process improvement to enhance data warehousing capabilities and drive innovation


• Stay up-to-date on the latest advancements in industry and technology solutions, bringing insights to the team for continuous development of our stack, solutions and ways of working

What are we looking for?

We're looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.

Requirements

• 3+ years of experience in both on-prem and cloud-based data warehousing and data marts, with at least 2 years focused on leadership of warehousing team(s)


• Bachelor's degree in Data Science, Computer science or related field; Master's degree preferred


• Demonstrable hands-on experience with: Snowflake, AWS S3 at minimum


• Data governance and cataloging


• Programming: Python and/or SQL (production code, reusable libraries, tests)


• Pipeline development and orchestration: HVR, Airflow, Step Functions, dbt and others


• DevOps for data: Terraform/CloudFormation, CI/CD, monitoring, and runbook creation


• Strong understanding of data modeling, data quality, and secure data onboarding/governance


• Experience with both batch and real-time data processing


• Core Competencies: Excellent communication and stakeholder management skills

Preferences

• Snowflake developer certifications


• AI Engineering: Snowflake Coretex, AWS Bedrock, etc.


• Demonstrated use of AI/ML tools to augment engineering productivity (prompting for code generation, LLMs for docs/tests, query optimization)

Skills & Tools

• AWS (S3, Glue, Lake Formation, IAM), Snowflake SQL, Python HVR, dbt, Airflow, Step Functions Terraform/CloudFormation, CI/CD (GitHub Actions, Jenkins) Observability (Dynatrace preferred, Datadog, Prometheus) Data governance & security (Unity Catalog, Collibra, Atlan)

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