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Healthtech • Information Technology • Software • Telehealth
Lead a team of 8-10 to manage provider data operations: oversee daily workflows, ensure quality and SLAs, coach staff, drive process improvements, partner cross-functionally, and pilot AI/automation to scale and improve data quality.
Top Skills:
Ai-Driven ToolsConfluenceExcelGoogle DocsGoogle SheetsMonday.ComPowerPointSalesforceWord
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead and mentor engineering teams to design, build, test, and deliver scalable .NET and React-based cloud-native solutions on Azure. Drive architecture, refactoring, automation, DevOps practices, roadmap prioritization, and cross-functional product management while applying AI/ML and Databricks where appropriate.
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We are looking for a visionary Data Platform Engineer to own, scale, and nurture our platform engineering team and data infrastructure across Databricks and Snowflake ecosystems. You will set the strategic direction for Capita’s Enterprise Data Platform, be the custodians of the platform, mentor team members, and drive the development of robust, scalable foundational data pipelines, transformations, and data models that underpin business insights and operational reporting. You will ensure engineering best practices, data quality, and reliability are maintained across platforms.
Job title:
Lead Data Engineer - Data PlatformJob Description:
- Define and drive the technical roadmap and strategy for the data platform on Databricks and Snowflake, ensuring scalability, security, and cost efficiency.
- Design, implement, and maintain the platform's infrastructure using Infrastructure as Code (IaC) tools such as Terraform or BICEP/ARM.
- Drive platform automation and operational excellence for deployment, environment provisioning, monitoring, and self-service capabilities using Azure DevOps/CI/CD.
- Establish and enforce engineering best practices, including robust code quality, automated testing, observability, and security governance across the platform.
- Mentor and nurture the platform engineering team, promoting a culture of continuous learning and high-quality delivery.
- Collaborate with data engineering teams, security, and senior stakeholders to ensure platform capabilities align with business needs and enterprise standards.
- Monitor and manage cloud resource consumption across Databricks and Snowflake to drive cost efficiency and implement FinOps best practices.
- Establish, monitor, and enforce Service Level Agreements (SLAs) and Non-Functional Requirements (NFRs) for platform performance, availability, and throughput.
- Define and implement data quality enforcement mechanisms and robust access control policies (e.g., RBAC/ABAC) utilising features like Databricks Unity Catalog or Snowflake Roles.
Location:
Pune,
IndiaTime Type:
Full timeContract Type:
PermanentWhat you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
