This position is posted by Jobgether on behalf of 2nd Watch. We are currently looking for a Senior Data Lead/Data Lead in India.In this role, you will lead the development and optimization of enterprise-scale data solutions, driving innovation and setting the technical vision for advanced cloud-based data platforms. You will work closely with cross-functional teams to design and deliver robust pipelines, mentor engineering teams, and ensure best practices in data governance and performance optimization. This position requires balancing hands-on technical expertise with strategic leadership, offering the opportunity to make a direct impact on business outcomes. The role is dynamic, collaborative, and ideal for a forward-thinking leader passionate about data engineering excellence.
Accountabilities
- Lead and mentor a team of data engineers, fostering technical growth and collaboration
- Architect, design, and implement scalable data pipelines and processing systems on AWS, GCP, or Azure
- Establish data engineering standards, governance frameworks, and best practices
- Partner with stakeholders to deliver actionable data solutions aligned with business needs
- Drive the technical roadmap for data infrastructure and platforms
- Optimize workflows for reliability, performance, and cost-effectiveness
- Provide leadership in data modeling, ETL/ELT design, and code reviews
- Support pre-sales engagements with technical solutioning and proposal development
- Create reusable frameworks to accelerate delivery and maintain documentation
- Contribute to thought leadership and maintain relevant cloud certifications
Requirements
- Minimum 10 years of experience in data engineering, with 2+ years in leadership or engineering management
- Strong expertise in Python and SQL, with experience writing production-grade, scalable code
- Hands-on experience with cloud data platforms (AWS/GCP/Azure), Databricks, Delta Lake, and lakehouse architectures
- Deep knowledge of data warehousing, data lakes, schemas, governance, and performance optimization
- Familiarity with real-time streaming (Kafka, Kinesis) and orchestration tools
- Proven track record of designing enterprise-grade data solutions and integrating pipelines with analytics layers
- Excellent communication and stakeholder management skills, with the ability to explain technical concepts to non-technical audiences
- Experience leading teams in Agile environments and mentoring junior engineers
- Relevant cloud certifications (AWS Data Analytics, Google Data Engineer, etc.) and awareness of industry regulations such as GDPR, CCPA, or HIPAA
- Strong problem-solving abilities, business acumen, and adaptability in fast-paced settings
Benefits
- Competitive total rewards package including base salary and short-term incentives
- Fully remote-first environment with global collaboration opportunities
- Comprehensive healthcare coverage, including medical, dental, vision, mental health, and wellness resources
- Retirement planning support (CPF, EPF, company-matched 401(k))
- Generous paid time off and leave allowances
- Opportunities for professional development, certifications, and continuous learning
- Inclusive culture that values diversity, equity, and individual growth
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience and achievements.📊 It compares your profile to the job's core requirements and past success factors to determine your match score.🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.Thank you for your interest!
