Data Architect Lead

7 days ago


Bengaluru, Karnataka, India HubSpot Full time
About the Role

We are seeking a skilled Data Architect Lead to join our team. As a Data Architect Lead, you will be responsible for designing and implementing advanced analytics solutions that drive business growth.

Your primary focus will be on leading a team of Analytics Engineers in building flexible, reusable architecture for high-value data assets. You will develop a deep understanding of business and analytics priorities to lead your team in creating solutions that unlock scalability and drive actionable insights.

You will also provide strategic guidance on cross-functional data projects, ensuring solutions are robust, practical, and useful. Additionally, you will own and champion Sales data assets that answer critical questions to help Sales business and customers grow, reinforcing them as the Source of Truth across the organization.

Key Responsibilities:

  • Lead a team of Analytics Engineers in designing and implementing advanced analytics solutions.
  • Develop a deep understanding of business and analytics priorities to lead your team in creating solutions that unlock scalability and drive actionable insights.
  • Provide strategic guidance on cross-functional data projects.
  • Own and champion Sales data assets that answer critical questions to help Sales business and customers grow.

Required Skills and Qualifications:

  • Strong understanding of analysts workflow as it relates to both structured and unstructured datasets.
  • Technical execution of high-complexity business intelligence and analytics projects in a cloud-native environment.
  • Strong understanding of data pipelines, architectures, and data sets.
  • Hands-on experience with advanced SQL, cloud data warehouses, and relational databases.
  • Experience with script-based analytic transformation tools like dbt.
  • Bonus: Conceptual knowledge of Looker (LookML, Looks, and Dashboards).
  • 3+ years of people management experience.
  • Hiring and retaining top Analytics Engineering talent.
  • Patient, empathetic, finding success in the team's success; giving and receiving feedback frequently.
  • Training and onboarding colleagues onto an analytics environment.
  • Experience identifying and driving process improvement around data modeling and tool usage.

Benefits:

  • A competitive salary and benefits package.
  • The opportunity to work with a talented team of professionals.
  • A dynamic and supportive work environment.
  • Professional development opportunities.

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