Databricks Resident Data Architect in India at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Databricks Resident Data Architect / Service Delivery Lead based in India.

Join a high-impact data and analytics team helping organizations modernize their enterprise data platforms through advanced cloud technologies and scalable architecture solutions. This role combines deep technical expertise with strategic consulting, enabling customers to maximize the value of their data investments. As a trusted advisor, you will lead Databricks implementations, guide architecture decisions, and support successful delivery of large-scale data transformation initiatives. You will collaborate with business leaders, engineering teams, and stakeholders to design secure, reliable, and future-ready data ecosystems. This opportunity is ideal for an experienced data architect who enjoys solving complex challenges, driving innovation, and creating measurable business impact through modern data platforms.

• Serve as a dedicated Resident Data Architect and trusted technical advisor, supporting strategic customer initiatives and ensuring successful adoption of modern data solutions.
• Lead the architecture, design, implementation, and optimization of enterprise-scale data platforms using Databricks Lakehouse technologies.
• Partner with business stakeholders, technical teams, and leadership to define data strategies, technology roadmaps, and transformation initiatives.
• Design scalable lakehouse architectures while ensuring best practices across data engineering, governance, security, performance, and reliability.
• Drive data modernization, cloud migration, and digital transformation programs across complex enterprise environments.
• Guide engineering teams on data modeling, ETL/ELT processes, analytics architecture, and production deployment practices.
• Support the adoption of AI/ML capabilities, real-time analytics, and advanced data solutions within modern data ecosystems.
• Establish and improve CI/CD processes, MLOps practices, and operational frameworks for production data workloads.
• Provide technical leadership, mentorship, and knowledge sharing to customer teams and delivery partners.
• Manage project delivery, identify risks, communicate progress, and ensure alignment between technical solutions and business objectives.

• 10+ years of experience in consulting, client-facing technology engagements, with at least 7 years focused on data engineering, analytics, and modern data platforms.
• Proven experience delivering multiple enterprise Databricks implementations, including hands-on architecture and development responsibilities.
• Advanced expertise in the Databricks Lakehouse Platform, Apache Spark, Delta Lake, and distributed data processing concepts.
• Databricks Certified Data Engineer Professional certification or equivalent advanced certification is required.
• Strong experience with at least one major cloud platform such as AWS, Azure, or GCP, with familiarity across multiple cloud environments.
• Solid understanding of data architecture, data integration, governance, security, quality frameworks, and performance optimization.
• Experience implementing CI/CD pipelines, production deployment processes, and modern engineering practices.
• Knowledge of MLOps principles, AI/ML implementation workflows, and operationalizing machine learning solutions is preferred.
• Familiarity with Databricks Unity Catalog, data governance frameworks, and visualization platforms such as Power BI or Tableau is an advantage.
• Strong stakeholder management, communication, and consulting skills with the ability to translate business requirements into scalable technical solutions.
• Ability to lead technical discussions, mentor teams, and operate effectively in enterprise consulting environments.

• Opportunity to work on large-scale enterprise data modernization and cloud transformation initiatives.
• Exposure to advanced technologies including Databricks, AI/ML, MLOps, and modern analytics platforms.
• Collaborative environment with opportunities for technical leadership and professional growth.
• Career development opportunities through continuous learning and certification support.
• Opportunity to work with diverse customers and complex technology challenges.
• Competitive compensation package.
• Dynamic and innovative workplace focused on knowledge sharing and collaboration.
• Inclusive culture that values diverse perspectives and contributions.