Data Platform Architect

Data Platform Architect

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

Minimum 12 year(s) of experience is required

Educational Qualification: 15 years full time education

Summary:

Delivery and solution leadership role. This role balances hands on architectural guidance with execution ownership, client leadership, and people development.

Responsibilities:

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.

Design and build complex pipelines using Delta Lake, Auto Loader, Delta Live Tables (DLT), and deployment using Asset Bundles.

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.

Good to Have:

1. Certifications: Databricks Certified Professional or similar certifications.

2. Machine Learning: Knowledge of machine learning concepts and experience with popular ML libraries.

3. Knowledge of big data processing (e.g., Spark, Hadoop, Hive, Kafka)

4. Data Orchestration: Apache Airflow.

5. Knowledge of CI/CD pipelines and DevOps practices in a cloud environment.

6. Experience with ETL tools like Informatica, Talend, Matillion, or Fivetran.

7. Familiarity with DBT (Data Build Tool)

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.