Azure Data Architect

K&K Global Talent Solutions INC.; India; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

A global recruiting agency is looking for a Mid-Senior Data Engineer in India. The ideal candidate will have 10-12 years of experience in Azure Data Architecture and must be skilled in building ETL/ELT pipelines at scale. The role involves architecting secure data solutions, collaborating with data science teams, and enforcing data governance practices. This position offers opportunities for professional growth and the chance to lead deployments across various environments.

Qualifications

• 10-12 years of experience in data engineering.
• Strong experience in Azure Data Architecture.
• Solid understanding of structured & semi-structured data.

Responsibilities

• Architect scalable and high-performance data solutions.
• Design end-to-end Azure data architectures.
• Build ETL/ELT pipelines using Spark and Azure Databricks.
• Collaborate with data science teams for feature engineering.
• Enforce data governance practices and quality rules.

Skills

Azure Data Architecture and Data Engineering

Azure Databricks

ADLS Gen2

Synapse Analytics

Spark / PySpark

ETL/ELT pipelines

Data governance

Security and access control (RBAC)

Job description

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Hiring Technical Talent in India, UK & Europe

K&K Global Talents is an international recruiting agency that has been providing technical resources globally since 1993. This position is with one of our clients in India, who is actively hiring candidates to expand their teams.

Employment Type: Full-time Permanent

Experience Required: 10-12 Years

Responsibilities

• Architect scalable, secure, and high-performance data solutions for fraud and risk analytics.
• Design end-to-end Azure data architectures, covering ingestion, transformation, storage, governance, lineage, and consumption layers.
• Build and optimize ETL/ELT pipelines using Spark, PySpark, and Azure Databricks.
• Handle large-scale structured and semi-structured datasets, ensuring data quality and integrity.
• Collaborate with data science teams to prepare training datasets, support feature engineering, and enable ML model operationalization.
• Define and enforce data governance practices including metadata management, lineage, data quality rules, and security controls.
• Drive technology evaluations, POCs, and contribute to the data platform roadmap.
• Lead deployments across environments (Dev/Test/Prod) ensuring stable and low-risk releases.
• Provide technical leadership, mentor data engineers, and maintain architectural standards across teams.

Required Skills

• Strong experience in Azure Data Architecture and Data Engineering
• Hands-on expertise with Azure Databricks, ADLS Gen2, Synapse Analytics
• Strong proficiency in Spark / PySpark
• Experience building ETL/ELT pipelines at scale
• Solid understanding of structured & semi-structured data (Delta, Parquet, JSON)
• Experience with data governance, security, and access control (RBAC)

Preferred Skills

• Experience in Banking Domain
• Exposure to streaming data architectures (Event Hubs)
• Experience supporting ML/AI workloads from a data platform perspective
• CI/CD exposure for data platforms

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries: Staffing and Recruiting, Information Services, and IT Services and IT Consulting

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