Senior Cloud Data Lead – AWS & Databricks

Prodapt Solutions Private Limited; Richardson (TX); On-site; USD 130,000 - 180,000; Full time

Job summary

Prodapt Solutions Private Limited in Richardson, TX invites a Data Lead to design, build, and modernize large-scale data platforms on AWS and Databricks. You will steer cross-functional teams, drive cloud modernization, and deliver data-driven transformation programs for enterprise workloads.

You will partner with engineering, architecture, product, data, cloud, and business teams to align technical roadmaps with business goals, ensuring production readiness and analytics-driven decisions.

Qualifications

• 10+ years in data engineering, data warehouses/lakes, and analytics.
• Proven leadership in large-scale enterprise data projects.
• Strong SQL, ETL pipelines, and modern data architectures.

Responsibilities

• Lead end-to-end delivery of enterprise data, cloud, and technology transformation projects.
• Manage project strategy, scope milestones, risks, and delivery commitments.
• Partner with engineering, architecture, product, data, cloud, and business teams to drive initiatives.
• Lead cloud modernization and migration involving AWS and data platforms.
• Oversee production readiness, incident management, and continuous improvement.
• Drive Agile delivery with planning, sprints, and release coordination.

Skills

Data engineering

Data warehouses and lakes

AWS cloud

SQL and ETL

Agile/Scrum leadership

Education

Bachelor's degree in Computer Science, Engineering, IT, or related field

Tools

Databricks

SQL

ETL tools

Job description

Prodapt Solutions Private Limited in Richardson, TX invites a Data Lead to design, build, and modernize large-scale data platforms on AWS and Databricks. You will steer cross-functional teams, drive cloud modernization, and deliver data-driven transformation programs for enterprise workloads.

You will partner with engineering, architecture, product, data, cloud, and business teams to align technical roadmaps with business goals, ensuring production readiness and analytics-driven decisions.