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Senior Data Architect at Irth Solutions. Company Summary. Irth Solutions is a software product company building cutting-edge technology platforms that continuously set industry benchmarks. With a strong product culture, collaborative environment, and high growth potential, Irth offers an exciting opportunity to work on modern, enterprise-scale data platforms. We are currently hiring a Senior Data Architect to lead our enterprise data architecture initiatives.. Job Summary. Irth 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.. 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..  . Company Location: India.