Azure Data Architect

Alike Thoughts

India

Hybrid

INR 4,500,000 - 7,500,000

Full time

7 days ago

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Job summary

Alike Thoughts is seeking a Data Platform Architect to design end-to-end cloud-native data platforms on Azure, including Lakehouse architectures with Databricks and Delta Lake, and to establish enterprise data standards and governance.

This role leads Databricks leadership, data ingestion, security, and optimization, mentoring engineers and aligning technical roadmap with business priorities across FMCG/retail-like domains.

Qualifications

13+ years of Data Engineering experience.
5+ years of Azure Databricks implementation experience.
Experience designing enterprise-scale Lakehouse architectures.
Hands-on experience with Unity Catalog implementation.
Strong expertise in PySpark optimization and performance tuning.
Experience with Azure DevOps CI/CD pipelines.
Experience leading technical teams and architecture decisions.

Responsibilities

Design end-to-end cloud-native data platforms using Azure services.
Architect Databricks workspaces and multi-environment deployments.
Implement Delta Lake and Medallion Architecture (Bronze, Silver, Gold).
Drive migration of legacy ETL workloads to Databricks.
Architect data ingestion frameworks using Azure Data Factory.
Mentor Data Engineers and Technical Leads.
Drive technical roadmap and modernization initiatives.

Skills

PySpark

Python

SQL

Spark Optimization

Data Modeling

Data Warehousing Concepts

Leadership

Mentoring

Tools

Azure Databricks

Azure Data Factory

Azure Data Lake Storage Gen2

Azure Key Vault

Azure Monitor

Azure DevOps

Unity Catalog

Databricks Workflows

Delta Lake

Cluster Policies

Job description

Data Platform Architecture

Design end-to-end cloud-native data platforms using Azure services.
Design scalable Lakehouse architectures using Azure Databricks and Delta Lake.
Establish enterprise data standards and architecture governance.

Azure Databricks Leadership

Architect Databricks workspaces and multi-environment deployments.
Define best practices for cluster management, autoscaling, job orchestration, and workload optimization.
Implement Delta Lake and Medallion Architecture (Bronze, Silver, Gold).
Drive migration of legacy ETL workloads to Databricks.

Data Governance & Security

Implement Unity Catalog for centralized governance.
Define RBAC, data access controls, and row/column-level security.
Design secure integrations with Key Vault, Managed Identity.
Ensure compliance with enterprise security standards.

Data Engineering & Optimization

Review and optimize PySpark code for performance.
Implement partitioning, Z-Ordering, Liquid Clustering, caching, and query optimization techniques.
Establish monitoring and observability frameworks.
Drive FinOps initiatives to optimize Databricks and Azure consumption.

Integration & Orchestration

Architect data ingestion frameworks using Azure Data Factory.
Design integrations with SQL Server, SAP, Oracle, APIs, Salesforce, Data Lakes, and third-party systems.
Implement CI/CD frameworks using Azure DevOps.

Leadership & Stakeholder Management

Collaborate with business stakeholders, product owners, architects, and engineering teams.
Conduct architecture reviews and technical governance sessions.
Mentor Data Engineers and Technical Leads.
Drive technical roadmap and modernization initiatives.

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Required Skills

Azure Services