Senior Data Architect

Irth

India

Hybrid

INR 8,159,564 - 11,786,037

Full time

14 days+

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Benefits offered by this job

Competitive pay based on experience
Integral part of a dynamic company

Job summary

A leading software product company is hiring a Senior Data Architect to drive the design and governance of a multi-cloud data estate. In this high-impact role, you will establish architecture standards and ensure compliance with regulatory standards while collaborating with engineering teams on implementation. The ideal candidate has over 8 years of experience in data architecture, with strong expertise in Databricks and multi-cloud solutions. This opportunity offers competitive compensation and is ideal for those passionate about advanced data technologies.

Qualifications

  • 8+ years of experience in data architecture, including 3+ years in a senior role.
  • Strong expertise in Databricks, including Delta Lake and Unity Catalog.
  • Experience designing multi-cloud architectures across AWS, Azure, and GCP.

Responsibilities

  • Lead the design and governance of the enterprise data architecture.
  • Develop multi-cloud data ingestion and consolidation strategies.
  • Ensure compliance with global regulatory standards.

Skills

8+ years in data architecture
Strong expertise in Databricks
Designing multi-cloud architectures
Expertise in medallion architecture
Advanced SQL skills
Strong knowledge of security standards
Excellent architectural design skills

Education

Bachelor's or master's degree in computer science or related field

Tools

Databricks
Delta Lake
Power BI
Unity Catalog

Job description

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
  • 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
  • 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
  • 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
  • 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
  • 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
Benefits
  • Being an integral part of a dynamic, growing company that is well respected in its industry
  • Competitive pay based on experience
What Is In It For You
  • Being an integral part of a dynamic, growing company that is well respected in its industry
  • Competitive pay based on experience
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