Sr. Data Engineer

We are an Australian Data and AI company and are expanding our Databricks Capability in India and are seeking a Senior Databricks Data Engineer to build scalable, production-grade data platforms that enable AI and advanced analytics for our global clients. We are open, transparent, no-nonsense, innovative problem solvers and eternal learners as a team where individual passion and brilliance is combined with a great team spirit to nurture everyone’s journey to be their best and achieve what they aspire. Role Overview: As a Senior Databricks Data Engineer , you will architect, design, and develop data pipelines and modeling layers that power analytical and AI-driven workloads. You are likely to work on end-to-end Databricks projects —from ingestion to curation to enablement for ML/AI—while collaborating with consulting and client delivery teams across regions. Responsibilities: Solution Ownership: Take end-to-end responsibility for project delivery, including planning, prioritization, and ensuring data solutions meet quality and performance expectations. Stakeholder Collaboration: Engage with business and product teams to understand data needs, translate requirements, and align engineering solutions with strategic goals. Cross-Functional Communication : Present complex data concepts in a clear, actionable manner to non-technical stakeholders and leadership. Continuous Improvement: Identify process inefficiencies and lead initiatives to improve data workflows, scalability, and team productivity. Design and build scalable, reliable data pipelines using Databricks Auto Loader, Delta Live Tables (DLT), and Workflows. Develop and maintain curated Medallion architecture layers (Bronze, Silver, Gold) using Delta Lake and Databricks SQL. Orchestrate and deploy pipelines using Databricks Asset Bundles (DABs) and integrate with CI/CD tools (GitHub Actions, Azure DevOps). Implement data ingestion using Lakeflow Connect and integrate with external sources such as Kafka, ADLS, and REST APIs. Develop real-time and batch processing jobs with PySpark, SQL, and Delta Lake. Ensure data quality, lineage, and governance using Unity Catalog and DLT Expectations. Collaborate with data scientists and ML engineers to prepare feature-ready datasets for MLflow and AI workloads. Optimise Databricks clusters and jobs for cost, performance, and reliability. Participate in client workshops, provide architectural input, and communicate technical outcomes effectively to business stakeholders. Take ownership of projects ensuring exceptional customer outcomes Contribute to a data-driven culture that fosters innovation and agility. Required Skills & Competencies 3 - 5 years of hands-on experience with Databricks , including proficiency in: Demonstrated experience in client-facing delivery , including conducting online workshops, eliciting data requirements, and presenting technical findings to business and technical stakeholders. Databricks Certification (Data Engineer Associate or Professional) required. PySpark, SQL, and data modeling (Dimensional, ELT). Medallion architecture and Delta Lake optimization (Z-Ordering, Optimize, Compaction). Unity Catalog, Workflows, and Feature Store. Azure Data Services (ADLS, ADF, Synapse) or equivalent on AWS/GCP. Auto Loader for incremental ingestion Delta Live Tables (DLT) for declarative ETL pipelines Lakeflow Connect for source integration Databricks SQL for analytics and transformation Ability to thrive in a fast-paced, entrepreneurial, team environment Preferred (Nice to have) Prior experience in Retail, CPG, or Transportation & Logistics domains. CI/CD skills for Databricks using GitHub Actions or Azure DevOps and Databricks Asset Bundles (DABs) for deployment automation Experience implementing data quality monitoring and governance frameworks . What we offer At our core, we are building a youthful, forward-looking Data & AI brand — where engineers, consultants, and innovators thrive on solving meaningful problems with cutting-edge technologies. We offer an environment that blends technical depth, consulting exposure, and personal growth in equal measure. Flexible Work Options – Work 100% remotely or in a hybrid mode from our Chennai base — we trust our people to deliver outcomes, not fill timesheets. Learning & Mentorship Culture – Work directly with senior data and AI leaders who invest in your career growth, leadership development, and technical mastery . High-Calibre Clients & Projects – Collaborate with mature global clients pursuing ambitious Data and AI transformation goals — exposure to real enterprise-grade challenges.