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# Lead Data Engg (Individual Contributor) with HLS Domain Exp

- **Company:** Peoplentech Llc
- **Location:** Santa Clara, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $130,000.0 - $135,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Amazon Web Services, Business Analytics Applications, JIRA, Microsoft Azure, Cloud Computing, Cloud Database, Data Architecture, Information Engineering, Data Integrity, Extract Transform Load (ETL), Data Mart, Data Systems, Data Warehousing, Relational Databases, Github, Python (Programming Language), Scrum Methodology, Software Engineering, Software Systems, SQL Databases, Unstructured Data, Scripting, Google Cloud, Snowflake, Information Technology, Operational Systems, Looker Analytics, Data Pipelines
- **Published:** November 5, 2026
- **Apply:** https://www.thejobnetwork.com/job/62694708-4d5a-48fe-a8d6-872ad7067200/lead-data-engg-individual-contributor-with-hls-domain-exp

## About the Role

* A Bachelor's degree in a quantitative/technical field (e.g., Computer Science, Engineering) and 10 yrs exp industry experience.
 * 2 yrs Experience with Snowflake (On AWS, GCP, or Azure)
 * 5 years of experience with demonstrated strength in ETL/ELT, data modeling, data warehouse technical architecture, infrastructure components, and reporting/analytic tools.
 * 5 years of experience in scripting languages like Python etc.
 * Experience architecting cloud data warehouses is a plus.
 * Experience in leading and delivering complex end-to-end projects is a must.
 * Experience in Jira, github is a must. Must be familiar with Agile methodologies and be able to participate in scrums, sprint planning, sprint refinements, and retro.
 * Experience working with large-scale relational databases, cloud platforms (AWS, Google Cloud), and unstructured data.

## Description

* Design, develop, and deploy high-quality software solutions that meet business requirements.
 * Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.
 * Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation
 * Design and develop data products for reusability and help with data mart standardization

Responsibilities:

 * Domain experience : Commercial experience (Sales operation) is a must; clear understanding of revenue, accounting is a plus.

 * Software Development:
 + Plan, design, analyze, build, maintain, test and enhance
o software systems of both new and existing products/modules.
o infrastructure, architecture, and/or technical strategy across multiple products and teams.

 * Data Engineering:
 + Collaborate in technical vision and development of a foundation, framework or capability of the team.
 + Independently, build architecture for simple to moderate systems. Understand architecture for moderate to complex systems and build in collaboration with other architects.
 + Understand end-to-end architecture for complex systems. Guides data architecture to teams across the organization.
 + Experience with the tech stack -Snowflake, SQL, dbt and looker is a must. Python is a plus.
 + Expert in Cloud technologies - Example: AWS is a plus

 * Data Modeling & Looker dashboarding
 + Design and implement robust data models to support Commercial Operations reporting and analytics needs.
 + Build and maintain commercial, revenue data models that integrate data from CRM, ERP, Marketing, and other operational systems.
 + Develop, test, and optimize dbt models to ensure data consistency, quality, and reusability.
 + Partner with Data Engineering teams to enhance data pipelines and improve data quality in Snowflake.