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 Dev Ops 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.