Engineer II, Data Warehouse

LPL Financial Global Capability Center; Hyderabad; On-site; INR 2,800,000 - 4,200,000; Full time

Job summary

LPL Financial Global Capability Center in Hyderabad seeks an experienced Engineer II in Data Warehousing & Automation Engineering to partner with a team of data professionals. You will deliver warehousing initiatives, ensuring data quality, governance, and strategic use of data assets to drive decision-making and innovation.

The role emphasizes leadership across warehousing teams, development of scalable data pipelines, and integration of data products with Snowflake, dbt, and HVR, while

Qualifications

• 7+ years in data warehousing / data marts, with leadership experience
• Bachelor’s degree in Data Science, CS or related field; Master’s preferred
• Hands-on with Snowflake, AWS S3, data governance/cataloging, Python/SQL
• Experience with data pipelines: HVR, Airflow, dbt, Step Functions
• DevOps for data: Terraform/CloudFormation, CI/CD, monitoring, runbooks
• Strong data modeling, data quality, and secure onboarding/governance
• Experience with batch and real-time processing

Responsibilities

• Develop data warehousing solutions aligned with business goals
• Oversee data product integration in Snowflake and dbt for quality and accessibility
• Design and implement data replication/transformation pipelines (HVR)
• Develop and monitor data quality checks and governance processes
• Optimize Snowflake data warehouse, data marts, and related applications for performance
• Implement cost management strategies for warehousing solutions
• Ensure data security/compliance across warehousing processes
• Maintain metadata management practices for data quality and accessibility
• Collaborate with IT, marketing, and customer service to support business goals
• Promote rapid prototyping and continuous improvement of the data stack

Skills

Leadership

Stakeholder management

Data modeling

Data governance

Collaboration

Problem solving

Communication

Education

Bachelor in Data Science / Computer Science

Master’s degree preferred

Tools

Snowflake

dbt

Airflow

HVR

Terraform

CloudFormation

CI/CD

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 II 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 leveraging data as a strategic asset to enhance decision-making, drive innovation, and ensure data quality and governance.

Responsibilities

• Develop solutions to deliver on the data warehousing strategy, ensuring alignment with business objectives and driving data-driven decision-making across the organization
• Oversee the integration of data products in Snowflake and dbt, ensuring seamless data flow, quality and accessibility
• Design and 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
• Implement cost management strategies to optimize data warehousing expenses while maintaining high service levels
• Ensure data security, compliance, and governance are integrated into all data warehousing processes to meet regulatory and organizational standards
• Establish and maintain robust metadata management practices to ensure data quality and accessibility
• Work closely with cross-functional teams, including IT, marketing, and customer service, to ensure data warehousing initiatives support business goals
• 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

• 7+ years of experience in both on-prem and cloud-based data warehousing and data marts, with at least 4 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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