Databricks Practice Lead / Architect (Ahmedabad)

About Kanerika Who we are: Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data and AI. We leverage cutting-edge technologies in data analytics, data governance, AI-ML, GenAI/ LLM and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth. Awards and Recognitions Kanerika has won several awards over the years, including: CMMI Level 3 Appraised in 2024. Best Place to Work 2023 by Great Place to Work Top 10 Most Recommended RPA Start-Ups in 2022 by RPA today. Frost & Sullivan India 2021 Technology Innovation Award for its Kompass composable solution architecture. Kanerika has also been recognized for its commitment to customer privacy and data security, having achieved, ISO 9001, ISO 27701, SOC2, and GDPR compliances. Working for us Kanerika is rated 4.6/5 on Glassdoor, for many good reasons. We truly value our employees' growth, well-being, and diversity, and peoples experiences bear this out. At Kanerika, we offer a host of enticing benefits that create an environment where you can thrive both personally and professionally. From our inclusive hiring practices and mandatory training on creating a safe work environment to our flexible working hours and generous parental leave, we prioritize the well-being and success of our employees. Our commitment to career development is evident through our mentorship programs, job training initiatives, and support for professional certifications. Additionally, our company-sponsored outings and various time-off benefits ensure a healthy work-life balance. Join us at Kanerika and become part of a vibrant and diverse community where your talents are recognized, your growth is nurtured, and your contributions make a real impact. See the benefits section below for the perks youll get while working for Kanerika. Locations We are located in Austin (USA), Singapore, Hyderabad, Indore and Ahmedabad (India). Job Location: Hyderabad, Indore and Ahmedabad (India) Requirements Role: Kanerika is building out a dedicated Databricks delivery practice and is looking for a Practice Lead / Architect to be the founding technical leader of this group. This is a high-ownership, build-from-scratch role: you will define delivery standards, lead solution architecture for client engagements, support pre-sales and proposal efforts, and mentor a growing team of engineers. You'll be the senior-most technical voice for Databricks both internally and in front of clients. Key Responsibilities Define and own the technical architecture, standards, and best practices for Databricks-based solutions across client engagements (data engineering, lakehouse, ML/AI workloads, and GenAI solutions including RAG pipelines and LLM-based applications). Lead solution design for greenfield implementations and migrations to Databricks, including Unity Catalog, Delta Lake (including Change Data Feed, liquid clustering, and deletion vectors), workflows, and governance models. Act as the primary technical lead in pre-sales: scope client requirements, build estimates, design proposed architectures, and present solutions in client-facing meetings and demos. Support RFP/RFI responses and SOW creation with accurate technical scoping and effort estimation for Databricks engagements. Build and maintain reusable accelerators, reference architectures, and delivery templates to speed up future client engagements. Provide technical leadership and mentorship to the delivery team, including code/architecture reviews and unblocking technical challenges. Partner with practice leadership to define hiring needs, skill development plans, and the long-term roadmap for the Databricks practice. Stay current with the Databricks platform roadmap (Unity Catalog, Lakeflow Declarative Pipelines (formerly Delta Live Tables) and Lakeflow Connect for managed ingestion, MLflow, Databricks SQL) and proactively bring new capabilities into client conversations. Serve as primary point of escalation for technical risk and delivery quality across active engagements. Required Skills & Experience 814 years in data engineering/architecture roles, with at least 4 years of hands-on Databricks and Apache Spark experience in production environments. Deep expertise in PySpark/Spark SQL, Delta Lake, Unity Catalog, and Databricks workflow orchestration. Hands-on experience with Auto Loader and structured streaming pipelines in production environments. .