---
title: 'Databricks ( Lead) at statsby.ai'
canonical: 'https://feeny.ai/job/databricks-lead-statsby-ai-pune-bxrq9nta6q43'
type: 'job'
last_seen: '2026-09-08'
---

# Databricks ( Lead) at statsby.ai

- **Company:** statsby.ai
- **Location:** Pune, India
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-27
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.gem.com/statsby-ai/am9icG9zdDqWwhvYjzoA8PesvNVdW4Sx

## Job description

We are looking for an experienced Data Engineer (Lead) with strong expertise in Databricks to design, develop, and maintain scalable data pipelines and data processing solutions.

## Key Responsibilities

- Design, develop, and maintain scalable data pipelines using Databricks.
- Develop data processing solutions using PySpark and Python.
- Work with Apache Spark for large-scale data processing.
- Build and optimize ETL/ELT pipelines.
- Work with Delta Lake for data storage and processing.
- Develop and manage workflows using Databricks Workflows.
- Perform data transformation, cleansing, and validation.
- Optimize Spark jobs and improve pipeline performance.
- Collaborate with data engineers, analysts, and other technical teams.
- Troubleshoot data pipeline issues and ensure data quality. Required Skills
- 3–5 years of experience in Data Engineering.
- Strong hands-on experience with Databricks.
- Good knowledge of PySpark and Python.
- Strong understanding of Apache Spark.
- Experience with Delta Lake and data lake architecture.
- Good knowledge of SQL.
- Experience in building ETL/ELT data pipelines.
- Understanding of cloud platforms such as Azure, AWS, or GCP.
- Experience with Git and CI/CD is an added advantage. Good to Have
- Experience with Azure Databricks.
- Knowledge of Azure Data Factory, ADLS, or similar cloud data services.
- Experience with DBT, Snowflake, or other modern data platforms.
- Databricks certification is a plus.

## What We Offer

- Opportunity to work on real-world Data Engineering and AI projects.
- Exposure to modern data technologies and cloud platforms.
- Collaborative and learning-focused work environment.
- Opportunity to work with a growing technology team.

## About statsby.ai

## Company Overview
- **One-liner**: Statsby Solutions is a pharma-native AI and data company that builds purpose-built platforms and provides consulting services to help pharmaceutical sponsors, biotechs, and CROs handle high-stakes clinical data and documentation in regulated environments.
- **Entity Type**: Private (Bootstrapped/Service-based)
- **Headquarters**: Pune, India
- **Founded**: 2022
- **Founders**: Atul Pundhir (Co-Founder), Abhishek Kumar Mishra (Co-Founder & Chief Revenue Officer)

## Core Business
- **Primary industry**: Pharmaceutical AI, Clinical Data Engineering, and Regulated AI/ML
- **Target customers**: Pharma sponsors, biotechs, and Clinical Research Organizations (CROs)
- **Mission/Purpose**: To create innovative solutions that empower organizations to harness their data, turning insights into action for greater efficiency, adaptability, and growth — with a focus on blending deep domain expertise with AI engineered for regulated environments where auditability, traceability, and scientific rigor are the baseline.

## Products & Services
- **Revectra**: AI-powered Protocol-to-Platform Intelligence. Digitizes clinical trial protocols (new and legacy) into structured, version-controlled CDISC USDM 4.0 study definitions, exposes them via API, and generates downstream documents grounded in proprietary data, deployed on the client's cloud.
- **Veractra**: AI-powered Clinical Study Report (CSR) generation. Produces ICH E3-compliant CSRs in days, featuring multi-stage numerical verification against source TLFs and sentence-level traceability, deployed entirely within the client's cloud environment.
- **Data & AI Consulting**: End-to-end services including Clinical Data Platforms & Engineering (CDISC-aligned, GxP-ready cloud-native lakehouse architectures), Generative AI for Clinical Workflows (RAG systems, knowledge assistants, document automation), Agentic AI & Intelligent Automation (multi-agent systems for study start-up, PV case processing, submission assembly), and MLOps & Responsible AI (building auditable, compliant AI backbones for regulated environments).

## Market Standing
- **Valuation/Funding**: Not publicly available (appears bootstrapped / service-funded)
- **Key Metric**: Small, specialized team of 9 employees (as of latest data)
- **Notable Clients/Partners**: Works with pharma sponsors, biotechs, and CROs; talent sourced from companies like Juniper Networks, Deloitte, Saama, Altair, and Triomics.
- **Growth Signals**: -10% monthly headcount growth (likely reflects natural churn in a small consultancy); strong focus on deep regulatory compliance (GxP, ICH E6(R3), 21 CFR Part 11, FDA/EMA expectations) as a core differentiator; developing proprietary platforms (Revectra, Veractra) alongside consulting to scale impact.

## Competitive Advantages
- **Pharma-native specialization**: Entirely focused on the pharmaceutical and clinical research industry, not a generalist AI consultancy.
- **Regulatory engineering from day one**: Every platform is architected for GxP, ICH E6(R3), 21 CFR Part 11, and FDA/EMA expectations from the first architecture diagram — ensuring audit readiness and data provenance.
- **Verification-first AI**: Veractra's multi-stage numerical verification against source TLFs and sentence-level traceability is a key differentiator for high-stakes regulatory document generation.
- **Deployment flexibility**: All platforms are designed to be deployed entirely within the client's cloud environment, meeting enterprise security and compliance requirements.

## Strategic Focus
- Deepening the "pharma-native" brand by building proprietary, purpose-built platforms (Revectra, Veractra) that move beyond consulting to product-led growth.
- Expanding agentic AI capabilities for specific clinical workflows (study start-up, PV case processing, submission assembly, protocol deviation management).
- Maintaining a "production-grade, regulated-first" engineering standard as the core value proposition.
- Building long-term client relationships with a focus on what's running in the client's environment six months after delivery.

## Why Work Here
- **Culture**: Strong emphasis on blending human ingenuity with advanced AI; described as a team of "passionate problem solvers and innovators" committed to pushing the boundaries of technology in a high-stakes industry.
- **Work Environment**: Hybrid workspace based in Pune, India. Employees engage in a combination of remote and on-site work.
- **Team**: Very small team (~9 people) — offers significant ownership and impact for early employees. Technical staff makes up 56% of the team.
- **Reviews**: Rated 5.0/5.0 on LinkedIn (2 reviews) with perfect scores in Work-Life (4.5), Compensation (5.0), Culture (5.0), and Career (5.0).
- **Engineering Focus**: Opportunity to work at the intersection of clinical science, AI, and regulated software engineering — a niche with high barriers to entry and strong career value. Tech stack includes Databricks, Scala, AWS Lambda, Apache Spark, Python, Power BI, Microsoft Azure, Kubernetes, Snowflake, and React.

## Sources
1. [statsby.ai](https://statsby.ai/)
2. [statsby.ai/about-us](https://statsby.ai/about-us/)
3. [statsby.ai/job-openings](https://statsby.ai/job-openings/)
4. [LinkedIn - Statsby Solutions](https://linkedin.com/company/statsby)
5. [Built In - Statsby Solutions](https://builtin.com/company/statsby-solutions)

## Other roles at statsby.ai

- [Data Engineer ( Contract)](https://feeny.ai/job/data-engineer-contract-statsby-ai-pune-9xx9vyfj3k75) — Pune, India
- [AI engineer](https://feeny.ai/job/ai-engineer-statsby-ai-pune-hmc4knbqx253) — Pune, India