Senior Data Architect

Senior Data Architect 100% Remote Fulltime Permanent Role Exp: 9+ Years

Immediate- max 15 Days Joiners !!!

Job Summary Our client is building a modern, enterprise-grade, multi-cloud data estate using a Databricks Lakehouse platform that consolidates data across AWS, Azure, GCP, and on-prem systems. The Senior Data Architect will lead the design, governance, and implementation strategy of this unified data platform. This is a high-impact technical leadership role responsible for defining architecture standards, ensuring governance and security compliance, and enabling scalable analytics, reporting, and AI/ML capabilities.

Requirements :

Key Responsibilities 1. Strategic Architecture & Design · Design the enterprise architecture for the Databricks Lakehouse, including medallion architecture (Bronze, Silver, Gold) and semantic layers. · Develop multi-cloud data ingestion and consolidation strategies across AWS, Azure, GCP, and on-prem systems. · Define standards for data lineage, metadata management, data quality, CDC/SCD, streaming, and batch ingestion. · Establish enterprise data governance frameworks, including classification, cataloging (Unity Catalog), retention, and security policies. · Ensure compliance with global regulatory standards such as GDPR, PIPEDA, Australian Privacy Act, and SOC 2. · Architect scalable, reliable, and cost-efficient solutions to support analytics, reporting, GIS, and AI/ML workloads. · Create architecture documentation, standards, and best practices. 2. Implementation Leadership & Engineering Partnership · Collaborate with data engineering teams to implement pipelines, Delta Lake storage, and Databricks workflows. · Provide technical leadership, architectural guidance, and code reviews. · Ensure consistent architecture implementation across products, tenants, and cloud environments. · Work with DevOps teams on infrastructure, networking, identity management, and CI/CD integration. · Establish monitoring, observability, and operational governance processes. 3. Data Governance, Security & Compliance · Define and enforce security policies including RBAC/ABAC, encryption, and audit logging. · Integrate enterprise metadata and lineage using Unity Catalog and Purview. · Ensure compliance with data residency, regulatory, and cloud-specific requirements. · Develop standards for data retention, archival, and disaster recovery. 4. Analytics, AI/ML & Product Enablement · Design architecture supporting BI tools such as Power BI and Databricks SQL. · Enable advanced analytics, predictive modeling, geospatial analytics, and AI/ML use cases. · Establish semantic modeling standards to ensure consistent business definitions across products. 5. Leadership & Collaboration · Serve as a subject matter expert in Databricks Lakehouse and multi-cloud data architecture. · Mentor engineering teams on data modeling, governance, and scalable architecture practices. · Collaborate with product teams and stakeholders to translate business requirements into technical solutions. · Participate in architectural governance, vendor evaluations, and roadmap planning.

Skills & Experience Required: · 8+ years of experience in data architecture, data engineering, or platform architecture, including 3+ years in a senior or leadership role. · Strong expertise in Databricks (preferably Azure), including Delta Lake, Unity Catalog, SQL Warehouses, and Lakehouse architecture. · Experience designing multi-cloud or hybrid architectures across AWS, Azure, and GCP. · Expertise in medallion architecture, metadata management, and enterprise data governance. · Advanced SQL skills and experience with Python, Scala, PySpark, or Spark SQL. · Experience with CDC, SCD Type 1/2, streaming pipelines, and batch processing. · Strong knowledge of security, compliance, encryption, and data governance standards. · Excellent documentation, communication, and architectural design skills. Preferred: · Experience integrating Unity Catalog with Purview or similar metadata tools. · Knowledge of AI/ML, geospatial analytics, or predictive modeling platforms. · Experience with Power BI semantic modeling or enterprise BI architecture. · Experience in regulated or multi-tenant data environments. · Relevant certifications such as Databricks Architect, Azure Data Architect, or AWS/GCP certifications.

EDUCATION · Bachelor’s or master’s degree in computer science, Software Engineering, or a related field, or equivalent professional experience.