Data Architect - Databricks (FMCG, Retail or Shipping industry)

Job Title: Data Architect / Senior Data Architect – Databricks
Location: Bengaluru, Karnataka
Work Mode: Hybrid – 2–3 days per week in office
Employment Type: Full-time, Permanent
Experience: 10+ years overall, including at least 7 years in Data Engineering, Data Platforms, or Analytics
Notice Period: Immediate joiners or candidates available within 30 days preferred
Preferred candidate: FMCG, Retail, or Shipping industry
About the Opportunity
We are hiring experienced Data Architects / Senior Data Architects for a leading Data & AI consulting organisation. The role involves designing and delivering enterprise Databricks solutions, leading technical implementations, and helping global customers solve complex data and AI challenges.
Key Responsibilities
Design and lead enterprise-scale Data & AI solutions on the Databricks Lakehouse Platform.
Define end-to-end architecture aligned with business requirements and technical objectives.
Architect scalable, secure, high-performance data platforms on AWS, Azure, and/or GCP.
Lead enterprise Databricks implementations from discovery and solution design through production deployment and support.
Develop and optimise data pipelines using Apache Spark, Databricks, and Delta Lake.
Build scalable ETL/ELT frameworks using modern data engineering practices.
Analyse Spark execution plans and optimise distributed workloads for performance, reliability, scalability, and cost.
Collaborate with platform engineering teams on CI/CD pipelines, deployment automation, Infrastructure as Code, and DevOps practices.
Support enterprise MLOps implementation and integration with AI workflows.
Lead architecture workshops, technical discovery sessions, and presentations to senior stakeholders.
Establish architecture standards, reusable solution accelerators, coding practices, and governance frameworks.
Ensure data security, compliance, quality, and operational excellence.
Mentor engineering teams and provide technical guidance throughout delivery.
Required Skills and Experience
10+ years of consulting and technology experience, including at least 7 years in Data Engineering, Data Platforms, or Analytics.
Proven delivery of at least 6–8 enterprise Databricks implementations in production environments.
Mandatory hands-on experience delivering enterprise data solutions.
Strong expertise in Databricks, Apache Spark, Delta Lake, and ETL/ELT architecture.
Experience designing and deploying large-scale distributed data platforms.
Strong understanding of Spark architecture, execution plans, runtime optimisation, and production troubleshooting.
Experience with cloud-native data architecture on AWS, Azure, and/or GCP.
Strong customer-facing consulting, solution architecture, and stakeholder management skills.
Experience working with global enterprise customers across multiple industries.
Excellent communication, presentation, problem-solving, and workshop facilitation skills.
Education and Preferred Certifications
Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related discipline.
Master’s degree preferred.
Databricks Data Engineer Professional certification preferred.
Additional AWS, Azure, or GCP certifications are highly desirable.

Work arrangement
No