Data Lead

What You'll Do

• 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 & Processing Strong 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.
• Hybrid work model supporting work-life balance.
• Comprehensive family health insurance.
• A collaborative environment focused on innovation, ownership, and growth.

Join our passionate team and tailor your growth with us!