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Leapwork

Data Architect

Posted 17 Days Ago
Be an Early Applicant
In-Office
Gurugram, Haryana
Senior level
In-Office
Gurugram, Haryana
Senior level
Design and build data infrastructure, define governance policies, manage data flow, and select technologies for data solutions. Collaborate with teams to align data strategies with business goals.
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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, whereefficiency, automation, and cost optimizationare 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 Data Architect at Leapwork, you’ll play a pivotal role in defining and building our next-generation data foundation from the ground up. Our data team is establishing the architecture to unify, transform, and connect information from many sources into a unified data view. You’ll help design greenfield data solutions and frameworks that enable scalability, governance, and AI-driven insights across the business. 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:

  • Designing Data Models: Creating database structures and models to organize and store company data effectively. 
  • Developing Data Infrastructure: Planning and building scalable and secure data environments, including data warehouses, lakes, and cloud platforms. Lead the development of new, greenfield data systems and processes to establish a modern, flexible data ecosystem. 
  • Setting Data Governance: Establishing policies and standards to ensure data quality, integrity, privacy, and compliance. 
  • Data Flow Management: Defining and managing the flow of data across various systems and platforms (transactional, analytical, streaming). 
  • Technology Selection: Choosing and integrating the right technologies and tools for data storage, processing, and analysis. 
  • Collaboration: Working with stakeholders, data engineers, analysts, and compliance teams to translate business needs into technical data solutions. 
  • System Evaluation: Continuously evaluating and optimizing data systems for performance, security, and usability. 
  • Data Integration: Planning and overseeing the integration of new data sources and systems with existing infrastructure. 

 Role Requirements:

  • Experience: Minimum 5 years of experience from a similar role. Proven track record of building or modernizing data platforms from the ground up is essential. 
  • Technical Skills: Strong understanding of database modeling and modern cloud data platforms (e.g., Microsoft Fabric, Azure, AWS, Snowflake), including data lakes, data warehouses, and data pipeline development. 
  • Analytical Skills: Ability to analyze complex system requirements and identify solutions to data-related problems. 
  • Communication Skills: Excellent communication and collaboration skills to effectively interact with various stakeholders and translate business requirements into technical specifications.  
  • Data Governance Expertise: Knowledge of data governance principles, data quality, metadata management, and data privacy. 
  • Database Expertise: Knowledge of relational and non-relational databases, and data warehousing solutions such as Microsoft Fabric, Azure Synapse, and Snowflake. 
  • Data Governance & Security: Familiarity with security, governance, and performance optimization practices  
  • Strategic Leadership: Ability to define long-term architectural vision and roadmap for data at Leapwork. 
  • Hands-on Implementation: Comfortable working in a lean environment, setting up tools, frameworks, and pipelines from scratch 
  • Cross-Functional Collaboration: Strong ability to work with engineering, product, and business teams to align data strategy with organizational goals. 
  • Innovation Mindset: Curious and forward-thinking, with a passion for building scalable, modern data ecosystems that support AI and automation. 

 
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.  

 


Top Skills

AWS
Azure
Microsoft Fabric
Snowflake

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