Senior Data Lead

Keka Technologies Private Limited; Chennai District; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Clear career growth

Exposure to customers

Nexversity

Mentorship

Collaborative environment

Job summary

Next is seeking a Senior Data Lead to drive design, development, transformation, and delivery of modern data solutions for analytics and business transformation in India. You will be a hands-on player-coach, guiding engineering teams while contributing to architecture, coding, and solution delivery.

You will lead a team of Data Engineers, Data Developers, and Technical Analysts, oversee end-to-end data pipelines, ETL/ELT frameworks, and cloud platforms such as Azure Databricks and Snowflake.

Qualifications

• 8–10 years of experience in data engineering, software development, or related technical fields.
• Proven experience leading and managing teams of Data Engineers and Developers.
• Advanced proficiency in Python and SQL with production-grade coding and reviews.
• Strong expertise in data transformation, cleansing, enrichment, and validation.

Responsibilities

• Lead, mentor, and manage a team of Data Engineers, Data Developers, and Technical Analysts.
• Drive end-to-end delivery of data engineering, transformation, and analytics initiatives.
• Design scalable data models, ingestion pipelines, and modern processing architectures.
• Provide technical leadership, code reviews, and CI/CD governance across GitHub or Azure DevOps.

Skills

Python

SQL

ETL/ELT

Azure Databricks

Snowflake

Leadership

CI/CD

PySpark

Tools

GitHub

Azure DevOps

Python IDEs

Job description

• As a Senior Data Lead, you will drive the design, development, transformation, and delivery of modern data solutions that enable enterprise-grade analytics and business transformation.
• You will serve as a hands‑on player‑coach, leading engineering teams while actively contributing to technical architecture, coding, and solution delivery.
• Lead, manage, and mentor a team of Data Engineers, Data Developers, and Technical Analysts.
• Drive end‑to‑end delivery of data engineering, transformation, and analytics initiatives.
• Design, develop, and maintain scalable data ingestion, transformation, and reporting pipelines.
• Write high‑quality, production‑ready code using Python and SQL.
• Build and optimize complex ETL/ELT frameworks to cleanse, standardize, enrich, validate, and transform large‑scale datasets from multiple source systems.
• Lead development efforts using Azure Databricks, Snowflake, PySpark, and cloud‑native data platforms.
• Design scalable data models, transformation frameworks, and modern data processing architectures.
• Provide technical leadership, conduct code reviews, establish engineering best practices, and manage code base repositories.
• Manage CI/CD operations, pull/merge request approvals, and platform landscape synchronization via GitHub or Azure DevOps.
• Plan and execute automated regression testing integrated within CI/CD pipelines.
• Allocate team workloads, track progress, and optimize resource utilization to ensure on‑time delivery.
• Collaborate closely with cross‑functional business, product, and analytics teams to translate business requirements into technical solutions.
• Communicate technical decisions, architectures, project status, and risks to diverse technical teams and senior leadership.
• Prepare and deliver clear technical specifications, documentation, and presentations to guide decision‑making.

What We Seek In You

• 8–10 years of overall experience in data engineering, software development, or related technical fields.
• Proven experience leading and managing teams of Data Engineers and Developers.
• Advanced proficiency in Python and SQL with a track record of writing, reviewing, and optimizing production‑grade code.
• Data Transformation & ProcessingStrong expertise in data transformation, cleansing, enrichment, and validation.
• Advanced experience with ETL/ELT frameworks, Spark/PySpark, Azure Data Factory, or Apache Airflow.
• Hands‑on experience with Azure Databricks and Snowflake.
• Strong understanding of data modeling, data warehousing, and cloud data platforms.
• Experience with version control, change management, and CI/CD operations using GitHub or Azure DevOps.
• Experience implementing automated testing frameworks within CI/CD pipelines.
• Strong work allocation, progress tracking, and resource management capabilities.
• Excellent verbal and written communication, problem‑solving, and stakeholder management skills.
• Ability to translate complex business challenges into scalable, technical data solutions.

Preferred Qualifications

• Strong player‑coach mindset with the ability to balance high‑level team leadership with hands‑on technical execution.
• Experience presenting technical trade‑offs, architecture decisions, and project roadmaps to C‑suite and executive leadership.
• Exposure to multi‑cloud environment operations across Azure, AWS, or GCP.Understanding of Data Governance, Data Quality frameworks, and Enterprise Security standards.
• Experience in domains such as Manufacturing, Automotive, Supply Chain, Financial Services, Healthcare, or Enterprise Analytics.

Life at Next

At Next, we enable high‑growth enterprises to transform their vision into reality through technology, data, and AI. We foster a culture of agility, innovation, continuous learning, and hands‑on leadership.

Perks of Working With Us

• Clear career growth and accelerated learning opportunities.
• Exposure to customers, product leaders, and emerging technologies.
• Continuous learning and upskilling through Nexversity.
• Mentorship and opportunities to explore diverse technologies and functions.
• A collaborative environment focused on innovation, ownership, and growth.

Join our passionate team and tailor your growth with us!