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 & 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. • 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!