Data Platform Engineer

Data Platform Engineer

Assists with the data platform blueprint and 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

Minimum 12 years of experience is required

Educational Qualification: 15 years full time education

Summary: As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture strategy. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives.

Responsibilities: Design and build complex pipelines using Delta Lake, Auto Loader, Delta Live Tables (DLT), and deployment using Asset Bundles. Proven experience as a Data Architect and Data Engineer leading enterprise-scale Lakehouse initiatives. Expert-level understanding of modern Data & Analytics Architecture patterns including Data Mesh, Data Products, and Lakehouse Architecture. Excellent programming and debugging skills in Python. Strong experience with PySpark for building scalable and modular ETL/ELT pipelines. Architect data ingestion and transformation using DLT Expectations, modular Databricks Functions, and reusable pipeline components. Must have hands-on expertise in at least one major cloud platform: AWS, GCP, or Azure. Lead implementation of Unity Catalog: create catalogs, schemas, role-based access policies, lineage visibility, and data classification tagging (PII, PHI, etc.). Guide organization-wide governance via Unity Catalog setup: workspace linkage, SSO, audit logging, external locations, and Volume access. Enable cross-platform data access using Lakehouse Federation, querying live from externally hosted databases. Leverage and integrate Databricks Marketplace to consume high-quality third-party data and publish internal data assets securely. Experience with cloud-based services relevant to data engineering, data storage, data processing, data warehousing, real-time streaming, and serverless computing. Govern and manage Delta Sharing for securely sharing datasets with external partners or across tenants. Design and maintain PII anonymization, tokenization, and masking strategies using dbx functions and Unity Catalog policies to meet GDPR/HIPAA compliance. Architect Power BI, Tableau, and Looker integration with Databricks for live reporting and visualization over governed datasets. Build Databricks SQL Dashboards to enable stakeholders with real-time insights, KPI tracking, and alerts. Hands on Experience in applying Performance optimization techniques Lead cross-functional initiatives across data science, analytics, and platform teams to deliver secure, scalable, and value-aligned data products. Provide thought leadership on adopting advanced features like Mosaic AI, Vector Search, Model Serving, and Databricks Marketplace publishing. Working knowledge of DBT (Data Build Tool) is a plus. Strong background in data modeling and data warehousing concepts is required.

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.

Equal Employment Opportunity Statement: We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.