Data Architect
Experience: 10+ Years
Location: Whitefield, Bangalore
Work Mode: Hybrid (3 days WFO)
Notice: Immediate to 7 days
Role Summary
We are seeking a
hands-on Data Architect with extensive experience in designing, implementing, and governing enterprise-scale data platforms. The ideal candidate will have strong expertise in
Data Lakes, Databricks, BigQuery, Data Pipelines, Data Products, and Business Intelligence (BI), with proven experience delivering scalable, secure, and high-performance data solutions.
This is a solution-level architecture role requiring the candidate to work closely with business and engineering teams to define data architecture, establish best practices, and deliver modern data platforms.
This is
not a design-only architecture role. Candidates
must have hands-on implementation experience in building Data Lakes, developing ETL/ELT pipelines, implementing Data Products and APIs, designing enterprise data models, and delivering secure, governed, and scalable data platforms using
Databricks and
BigQuery.
Key Responsibilities
Design and
hands-on implement enterprise data architectures using modern cloud data platforms. Architect scalable Data Lake and Lakehouse solutions using
Databricks and
BigQuery. Design, develop, and optimize ETL/ELT data pipelines for structured and unstructured data. Build and enable reusable
Data Products and
Data APIs using Databricks. Design logical and physical data models for enterprise Data Lake environments. Define data integration patterns, architecture standards, and best practices. Enable business intelligence and analytics by designing optimized data models for reporting and dashboards. Implement enterprise data security, governance, metadata, and access control frameworks. Collaborate with engineering, analytics, and business teams to deliver scalable, reliable, and governed data solutions.
Skills & Experience
10+ years of overall IT experience with strong expertise in enterprise data architecture.
Mandatory hands-on experience designing and implementing modern cloud-based data platforms. Proven experience delivering enterprise-scale data architecture solutions from design through production. Strong stakeholder management and solution architecture experience. Experience with cloud-native data platforms - Azure Cloud Exposure to real-time or streaming data architectures. Experience implementing enterprise data governance frameworks and best practices. Knowledge of modern analytics, semantic models, and self-service BI platforms.
Technical Expertise
MS Azure platform experience Databricks Google BigQuery Data Lake / Lakehouse Architecture ETL / ELT Pipeline Design & Development Data Products and Data APIs (using Databricks) Enterprise Data Modelling (Logical, Physical, and Data Lake Modelling) Business Intelligence (BI) Architecture and Reporting - Power BI SQL and Data Transformation Frameworks
Architecture & Governance
Enterprise Data Architecture Patterns Data Integration Patterns Data Security and Access Control Data Governance Implementation Metadata Management Data Quality and Lineage Performance Optimization and Scalability
