Lead Data Engg (Individual Contributor) with HLS Domain Exp

• 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.

• 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.