About Impact Analytics
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.
The impact that you will be making
We are seeking a Data Architect with over a decade of experience designing scalable data platforms and enterprise data models. This role requires strong knowledge of SQL/NoSQL databases, distributed systems, and cloud ecosystems across AWS, Azure, or GCP. The ideal candidate will build high-volume data pipelines, real-time streaming solutions, and robust ETL/ELT frameworks. Proficiency with tools like Spark, Databricks, Snowflake, and major integration platforms is essential. You will design secure, compliant data architectures aligned with GDPR, HIPAA, or CCPA. Additionally, you will drive data governance practices including cataloguing, lineage, and access control.
What Lands You In This Role
- Has strong execution knowledge of Data Modeling, Databases in general (SQL and NoSQL), software development lifecycle and practices, unit testing, functional programming, etc.
- 10+ years of experience in data architecture, data engineering, or related roles.
- 5+ years of experience in building scalable enterprise data warehousing and modelling on prem and/or cloud (AWS, GCP, Azure).
- Expertise in data structures, distributed computing, manipulating and analyzing complex high-volume data from a variety of internal and external sources.
- Expertise in cloud platforms such as Azure, AWS, or Google Cloud and their data services (e.g., Azure Data Lake, AWS S3, BigQuery).
- Hands-on experience with data integration tools (e.g., Azure Data Factory, Talend, Informatica).
- Experience in developing ETL designs and data models for structured/ unstructured and streaming data sources
- Experience with real-time data streaming technologies like Kafka, Kinesis, or Event Hub.
- Proficiency with big data tools and frameworks like Apache Spark, Databricks, Snowflake or Hadoop.
- Experience with SQL and NoSQL databases (e.g., SQL Server, Snowflake, Cosmos DB, DynamoDB).
- Solid knowledge of scripting and programming languages such as Python, Spark, Java, or Scala.
- Design secure data solutions ensuring compliance with standards such as GDPR, HIPAA, or CCPA.
- Implement and enforce data governance frameworks, including data cataloguing, lineage, and access controls.
What Makes You a Great Fit
- Experience in understanding and translating data, analytic requirements and functional needs into technical requirements while working with global customers.
- Design cloud-native data architectures that support scalable, real-time, and batch processing.
- Build and maintain data pipelines to support large scale data management in alignment with data strategy and data processing standards.
- Define strategies for data modelling, data integration, and metadata management.
- Strong experience in database, data warehouse, data lake design & architecture.
- Leverage cloud platforms (AWS, Azure, GCP, etc.) for data storage, compute, and analytics services such as Azure Synapse, AWS Redshift, or Google BigQuery.
- Experience in Database programming using multiple flavour of SQL.
- Implement data governance frameworks, including data quality, lineage, and cataloguing.
- Collaborate with cross-functional teams, including business analysts, data engineers, and DevOps teams
- Experience in Big Data ecosystem - on-prem (Hortonworks/MapR) or Cloud (Dataproc/EMR/HDInsight/Databricks/SnowPark)
- Evaluate emerging cloud technologies and recommend improvements to data architecture.
- Experience in any orchestration tool such as Airflow/Oozie for scheduling pipelines
- Hands-on experience in using Spark Streaming, Kafka, Databricks, Snowflake, etc.
- Experience working in an Agile/Scrum development process.
- Experience to optimize data systems for cost efficiency, performance, and scalability.
What We Offer
- An opportunity to be part of some of the best enterprise SaaS products to be built out of India
- Opportunities to quench your thirst for problem-solving, experimenting, learning, and implementing innovative solutions.
- A flat, collegial work environment, with a work hard, play hard attitude
- A platform for rapid growth if you are willing to try new things without fear of failure.
- Remuneration with best in class industry standards with generous health insurance cover.
Our Accolades Include
- Ranked #72 in America's Most innovative Companies list in 2023 alongside companies like Microsoft, Tesla, Apple, IBM, etc.
- Ranked as one of America s fastest growing companies by Financial Times for four consecutive years: 2020-2023.
- Ranked as one of America s fastest-growing private companies by Inc 5000 for Six consecutive years: 2018-2023.
- Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortment, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.
- Featured as one of top 25 ML startups to watch by Forbes in 2019.
- Ranked as one of North Americas fastest-growing technology companies by Deloitte for two consecutive years 2019 & 2020
