Lead Database Engineer

About the Company

Impact Analytics (Series D Funded) delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics. With a fully integrated, end-to-end platform for planning, forecasting, merchandising, pricing, and promotions, Impact Analytics empowers companies to make smarter decisions based on real-time insights rather than relying on last year's inputs to forecast and plan this year's business. Powered by over one million machine learning models, Impact Analytics has been leading AI innovation for a decade, setting new benchmarks in forecasting, planning, and operational excellence across the retail, grocery, manufacturing, and CPG sectors. In 2025, Impact Analytics is at the forefront of the Agentic AI revolution, delivering autonomous solutions that enable businesses to adapt in real time, optimize operations, and drive profitability without manual intervention. Here's a link to our website:

Some of our accolades include:

• Ranked as one of America's Fastest-Growing Companies by Financial Times for five consecutive years:
• Ranked as one of America's Fastest-Growing Private Companies by Inc. 5000 for seven consecutive years:
• Voted #1 by more than 300 retailers worldwide in the RIS Software LeaderBoard 2024 report.
• Ranked #72 in America's Most Innovative Companies list in 2023 —by Fortune — alongside companies like Microsoft, Tesla, Apple, IBM, etc.
• Forged a strategic partnership with Google to equip retailers with cutting-edge generative AI tools.
• Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.

About the Role

The role would require you to develop sophisticated products that add value to the client and result in new projects and revenue streams.

Responsibilities

• Analyze database design and architecture requirements for the distributed applications.
• Develop, construct, test and maintain existing and new data-driven architectures.
• Align architecture with business requirements and provide solutions which fits best to solve the business problems.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources on the Cloud (AWS / GCP). Using well defined ETL tools like PySpark, Data Flow.
• Data acquisition and clean up from multiple sources across the organization.
• Design custom tools to collate the data.
• Identify ways to improve data reliability, efficiency, and quality.
• Develop automated tasks for data operations.
• Deliver updates to stakeholders based on analytics.
• Set up practices on data reporting and continuous monitoring using Prometheus, ELK or similar tool.

Qualifications

• 8-12 years of hands-on technologist with a good mix of application development and database development.

Required Skills

• Expert Level SQL, PostgreSQL, including stored procedures, functions, triggers, and views.
• Strong understanding in database design and modelling.
• Ability to efficiently write database code without compromising data quality, privacy or security.
• Knowledge of database design principles, query optimization, index management, integrity checks, statistics, partitioning and isolation levels.
• Good understanding of PostgreSQL replication, high availability and clustering across availability zones and regions.
• Good understanding of Database backup and restore to align with data laws.
• Participate in an agile software development life cycle including providing testing guidelines for database related changes.
• Good understanding of Programming language, preferably Python for custom scripts.
• Understanding No SQL and In memory databases is a value add.