Data Platform Architect

Data Platform Architect Location: Bengaluru Project Role : Data Platform Architect Project Role Description : Architects the data platform blueprint and implements the design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary: This is a senior delivery and solution leadership role responsible for shaping data platform solutions, leading large scale Lakehouse implementations, owning RFP responses, and managing multi pod delivery teams. This role balances hands on architectural guidance with execution ownership, client leadership, and people development. Key Responsibilities Lead end to end delivery of enterprise scale Lakehouse and Data Platform programs across multiple teams and workstreams. Own solution architecture and technical approach for complex client engagements, in alignment with Data Mesh, Data Products, and Lakehouse paradigms. Drive RFP responses, estimations, solution write ups, and client presentations for Data & AI opportunities. Provide strong technical leadership across PySpark, Delta Lake, DLT, Unity Catalog, and cloud native data engineering stacks. Oversee design and build of scalable ingestion, transformation, and analytics pipelines using Databricks best practices. Guide governance implementation using Unity Catalog, including access controls, lineage, classification, and compliance guardrails. Ensure performance optimization, cost efficiency, security, and reliability across platforms and workloads. Act as the primary escalation point for delivery risks, architectural decisions, and cross team dependencies. Collaborate closely with client stakeholders, product owners, and platform teams to align outcomes with business objectives. Mentor solution architects, leads, and senior engineers build strong technical depth and leadership pipeline. Contribute to capability development, accelerators, reference architectures, and reusable assets. Stay current with Databricks innovations including Mosaic AI, Lakehouse Federation, Vector Search, and Model Serving, and guide adoption pragmatically. Required Skills & Experience 20+ years of experience in Data Engineering, Analytics, or Data Platform roles. Strong experience leading large scale Databricks Lakehouse implementations. Hands on experience with PySpark, Delta Lake, DLT, Asset Bundles, and Databricks SQL. Solid understanding of cloud platforms (Azure / AWS / GCP) and cloud native data services. Strong background in data modeling, data warehousing, and analytical design patterns. Proven experience in stakeholder management, delivery governance, and program leadership. Excellent communication skills for executive, client, and internal leadership interactions. Good to Have Databricks Professional certifications or equivalent. Experience with dbt, Airflow, and CI/CD for data platforms. Exposure to GenAI, ML pipelines, or AI enabled analytics solutions. Experience supporting industry specific data platforms (Insurance, BFSI, Health, Retail, etc.). Qualification: - 15 years full time education is required. 15 years full time education About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us atwww.accenture.com Equal Employment Opportunity Statement Additional Locations: Gurugram, Hyderabad, Kolkata, Mumbai, Chennai, Bhubaneswar