Data Architect

Responsibilities

• Architecture & Design
• Design and implement modern data platform architectures using:
• Azure: Data Lake Gen2, Synapse Analytics, Data FactoryMicrosoft Fabric: OneLake, Dataflows Gen2, Pipelines, Direct Lake, Semantic ModelsDatabricks: Data engineering, ML, and real-time analyticsAWS: Glue, Athena, Redshift, EMR, RDS, Kinesis, S3, Lambda
• Define enterprise lakehouse and warehouse architectures, including medallion (Bronze/Silver/Gold) patterns
• Build end-to-end pipelines (ingestion → transformation → modeling → serving)
• Design Power BI solutions with Direct Lake, Lakehouse, or Warehouse connectivity
• Governance & Security
• Define data governance, security, and compliance frameworks in collaboration with IT security teams.
• Collaborate with governance teams to integrate Microsoft Purview for data cataloging, classification, lineage, and sensitivity labeling.
• Define and enforce RBAC, managed identity access, private endpoint strategy, and DLP policies across all data services.
• Ensure compliance with regulatory frameworks such as GDPR, PDPA, or HIPAA
• Performance & Cost Optimisation
• Optimise performance and cost by selecting appropriate storage and compute SKUs, caching, partitioning, and workload management strategies.
• Implement real-time ingestion and streaming solutions using Real-Time Hub and Event Streams in Fabric.
• Infrastructure as Code & Cloud Deployment
• Design and deploy cloud infrastructure using Terraform (mandatory)
• Implement end-to-end infrastructure provisioning, including:Data services (Fabric, Databricks, Synapse, Glue, Redshift, etc.)Networking (VNet/VPC, subnets, routing, firewalls, private endpoints)Security (IAM roles, Key Vault / Secrets Manager, encryption, policies)
• Build and maintain CI/CD pipelines using Azure DevOps or GitHub Actions
• Ensure environments are repeatable, version-controlled, and production-ready
• Collaboration & Leadership
• Work closely with Data Engineers, BI Developers, Data Scientists, and Business Analysts to translate business requirements into technical designs.
• Mentor technical teams in implementing best practices for data architecture, DevOps, and CI/CD automation.
• Participate in cloud transformation initiatives, migrations, and legacy modernization projects.
• Required Skills and Experience
• Core Technical Skills
• Azure Services: Synapse Analytics, Data Factory, Data Lake Gen2, Key Vault, Monitor, Purview, Event Hub, Functions, Storage Accounts, Private DNS
• Microsoft Fabric: OneLake, Pipelines, Notebooks, Semantic Models, Real-Time Hub, Data Activator
• Databricks: Delta Lake, Unity Catalog, MLflow, Delta Live Tables, Job Clusters, Notebooks
• AWS Services: AWS Glue, Athena, RDS, Kinesis, etc
• Power BI: Advanced DAX, deployment pipelines, pbip projects, dataset modeling
• Security: Private Endpoints, RBAC, Managed Identity, network isolation, Purview integration
• Infrastructure-as-Code: Terraform, ARM Templates, Azure DevOps or GitHub Actions for CI/CD
• Added advantage: experience with implementing AI/ML services in Azure/AWS or Databricks

Requirements

• Minimum 5 years in data architecture or equivalent roles
• At least 5 years of experience in Azure data stack
• Hands-on experience with Microsoft Fabric and production workloads in Databricks
• Proven experience implementing secure and governed enterprise data platforms
• Preferred Certifications
• Microsoft Certified: Azure Solutions Architect Expert
• Microsoft Certified: Fabric Analytics Engineer Associate
• Databricks Certified Data Engineer (Associate/Professional)
• Microsoft Certified: Azure Data Engineer Associate
• Soft Skills
• Strong communication and stakeholder management skills
• Analytical mindset with a problem-solving attitude
• Familiarity with Agile and DevOps methodologies
• Ability to work across cross-functional teams in multi-cloud or hybrid environments

Additional Information

Job Summary We are seeking an experienced Azure/AWS Data Architect to lead the design and implementation of secure, scalable, and high-performance data platforms. This role is responsible for defining end-to-end architecture across Azure, AWS, Microsoft Fabric, and Databricks , enabling advanced analytics, AI, and business intelligence capabilities. The ideal candidate will have strong expertise in modern data lakehouse architectures , AWS/Azure deployments , and infrastructure automation , with the ability to translate business requirements into robust, production-ready solutions.

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at DEEEPLABS PTE. LTD.? Share your experience