Lead Data Engineer at Leapwork

Gurugram, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

18 Jan, 26

Salary

0.0

Posted On

20 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, Data Management, Technical Leadership, Team Leadership, Stakeholder Collaboration, Performance & Scalability, Python, SQL, Java, AWS, Azure, Microsoft Fabric, GCP, Spark, Hadoop, Problem-Solving, Innovation Mindset

Industry

Software Development

Description

Company overview: At Leapwork, our vision is to break down the barriers between humans and computers through the world’s most accessible automation platform. We are the leading global AI-powered visual test automation solution, enabling some of the world’s largest enterprises to adopt, scale, and maintain automation – in under 30 days. In today’s environment, where efficiency, automation, and cost optimization are essential to enterprise growth, we are uniquely positioned to deliver impact. In 2023, Microsoft, the world’s largest and most recognizable software company, recognised Leapwork as a truly innovative and disruptive product, leading to a strategic partnership that continues to be a major growth catalyst. The role: As a Lead Data Engineer at Leapwork, you’ll help shape how data fuels smarter decisions across the business. Our data team is building the data architecture to unify, transform, and connect information from many sources into a unified data view. You’ll play a key role in designing and building new, scalable data solutions from the ground up, laying the foundation for how Leapwork’s data ecosystem evolves. By turning complexity into clarity, you’ll enable the whole organization to execute with greater speed, precision, and impact. Join us on our journey to become a fully data-driven, AI-powered organization. Role Responsibilities: Technical Leadership: Design and implement scalable data architectures, data warehouses, and ETL/ELT pipelines using modern data engineering tools and best practices, leveraging platforms such as Microsoft Fabric, Azure, or Snowflake to deliver high-performing, secure, and well-governed data environments. Take ownership of building core data systems and frameworks in a greenfield environment. Team Leadership & Mentoring: Guide, mentor, and develop data engineering teams, fostering a culture of technical excellence and innovation. Stakeholder Collaboration: Bridge the gap between business stakeholders and technical teams, translating business requirements into technical solutions. Performance & Scalability: Manage and optimize database performance, identify and resolve data performance issues, and ensure data infrastructure remains agile and responsive. Data Management: Oversee the movement and management of large datasets, ensuring data integrity, quality, and accuracy across different systems. Role Requirements: Experience: 5 years of experience from a similar role. Experience with building or scaling data pipelines, systems, or architectures from early-stage setups or greenfield projects is highly valued. Execution excellence: Capable with handling quick delivery and ensuring quality Technical Proficiency: Deep knowledge of programming languages like Python, SQL, and Java; expertise in cloud platforms such as AWS, Azure, Microsoft Fabric and GCP; and experience with big data technologies like Spark and Hadoop. Data Architecture: Strong understanding of data warehousing, hands on experience building and optimizing ETL/ELT processes and designing large-scale data pipelines. Leadership & Communication: Proven experience in leading technical projects and teams, with excellent communication and interpersonal skills to collaborate effectively with various departments. Problem-Solving: Ability to identify, investigate, and resolve complex database and data processing issues. Adaptability: Willingness to stay ahead of emerging technologies and adapt to the constantly evolving data landscape. \ Hands-on Leadership: A builder mindset, comfortable designing, coding, and deploying new data systems where frameworks are still being established. Collaboration: Ability to work cross-functionally with data architects, analysts, and business teams to deliver aligned, impactful solutions. Innovation Mindset: Curious and forward-thinking, with enthusiasm for contributing to greenfield projects and modern data engineering practices. Ownership: Takes responsibility for the quality, performance, and scalability of data solutions delivered. Why Leapwork? We are on an exciting journey of global growth – and this is your chance to get onboard and an opportunity to lead and shape digital transformation initiatives in a forward-thinking company, working with and learning from a talented and passionate team committed to innovation and excellence By joining our team, you’ll become part of a fast-paced international environment where you can grow, challenge yourself, and do what inspires you. We work hard, but have fun while doing it – and we believe that collaboration, social activities and celebration are keys to success. Our Leapwork principles: Our five key principles capture the essence of what it means to be a part of our world-class team! They are integral to how we approach our work and one another, and they serve as a roadmap to our continued growth, development, achievements, and success. Customer first; We listen to our customers, understand their pain points and focus on what matters to them. Lead from the front; Leading means guiding others towards the solutions to our challenges. Get it done; We make commitments, follow through and deliver work we’re proud of. Build excellence; We do our best work every day, holding ourselves and others to the highest standards. Respectfully different; We treat each other with respect, always. We’re different, not indifferent.

Responsibilities

Design and implement scalable data architectures and ETL/ELT pipelines while managing database performance and ensuring data integrity. Guide and mentor data engineering teams, collaborating with stakeholders to translate business requirements into technical solutions.