Lead Data Architect

SOTT; Chennai; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A tech consulting firm in Chennai is seeking an experienced Data Architect to lead the design and implementation of data architecture strategies. The role demands expertise in SQL, NoSQL, and cloud databases, along with hands-on experience with big data technologies. Ideal candidates will possess strong leadership and problem-solving skills, with opportunities for mentorship within the data engineering team.

Qualifications

• 8 years of experience with a minimum of 2 years as an architect.
• Strong expertise in SQL, NoSQL, and cloud databases.
• Experience with ETL/ELT pipelines and data lakes.

Responsibilities

• Design and implement enterprise-level data architecture strategies.
• Lead the development of data models and pipelines.
• Establish best practices for data governance and security.

Skills

SQL

NoSQL

Cloud databases (AWS, Azure, GCP)

Big data technologies (Spark, Hadoop, Snowflake)

ETL/ELT pipelines

Data lakes

Real-time streaming architectures

Data security frameworks (GDPR, HIPAA)

API integrations

DevOps practices

Machine learning

Job description

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About the Career

Employment Type:

Positions Available: 1

Description:

Key Responsibilities:

• Design and implement enterprise-level data architecture strategies.
• Lead the development of data models, pipelines, and integration frameworks.
• Establish best practices for data governance, security, and compliance.
• Optimize data storage, processing, and retrieval for performance and cost-efficiency.
• Collaborate with engineering, analytics, and business teams to align data solutions with business goals.
• Evaluate and recommend modern data technologies, tools, and frameworks.
• Provide mentorship and technical leadership to data engineering teams.

Qualifications & Experience:

• 8 years ofexperience with a mimimum 2 years of experience as an architect
• Strong expertise in SQL, NoSQL, cloud databases (AWS, Azure, GCP), and big data technologies (Spark, Hadoop, Snowflake, etc.).
• Experience with ETL/ELT pipelines, data lakes, and real-time streaming architectures
• Familiarity with data security, governance, and compliance frameworks (GDPR, HIPAA, etc.).
• Strong understanding of API integrations, microservices, and DevOps practices
• Hands-on experience with machine learning and AI-driven data solutions is a plus.
  Excellent problem-solving, leadership, and communication skills.