Manager, Data Storage Platforms

Posted Yesterday
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Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Healthtech • Software • Pharmaceutical • Manufacturing
The Role
Lead and mentor a team of data platform engineers to design, build, and operate large-scale cloud-native data platforms (AWS/Azure). Own event-driven architectures, CDC, data lake ingestion, ETL/ELT pipelines, platform roadmap, cross-functional delivery, performance SLAs, and tooling (Apache Hudi, Terraform, Spark, Snowflake/Databricks/Synapse).
Summary Generated by Built In

Vantive is a vital organ therapy company on a mission to extend lives and expand possibilities for patients and care teams everywhere. For 70 years, our team has driven meaningful innovations in kidney care. As we build on our legacy, we are deepening our commitment to elevating the dialysis experience through digital solutions and advanced services, while looking beyond kidney care and investing in transforming vital organ therapies. Greater flexibility and efficiency in therapy administration for care teams, and longer, fuller lives for patients— that is what Vantive aspires to deliver.

We believe Vantive will not only build our leadership in the kidney care space, it will also offer meaningful work to those who join us. At Vantive, you will become part of a community of people who are focused, courageous and don’t settle for the mediocre. Each of us is driven to help improve patients’ lives worldwide. Join us in advancing our mission to extend lives and expand possibilities.

The Manager, Data Storage Platforms is responsible for leading a team of platform engineers overseeing the planning, the build, and the operations of data platforms. They will be responsible for architecting, engineering, and optimizing large‑scale, cloud‑native data platforms on AWS and Azure. This role leads development of event‑driven data architectures, CDC frameworks, data lake ingestion pipelines, and scalable ETL/ELT processes. The architect partners closely with cross‑functional teams, leads technical delivery, ensures operational excellence, and provides hands‑on support for global data transformation initiatives. They will be a part of the Data Services Platforms team and provide technological and process expertise and support the global domain data product delivery teams. They will provide leadership by assisting business partners in identifying and responding to opportunities for cost-effective data implementations and solutions by analyzing and making decisions that have cross functional business impact.


Responsibilities:

  • Lead and mentor a team of data platform engineers
  • Accountable for strategic planning and technical roadmap development for data platforms.
  • Oversee the design, implementation, and maintenance of data engineering pipelines in a multi-cloud environment, including integrations with a variety of data sources (including structured, semi-structured, and unstructured data)
  • Collaborate with the Domain Data Product Delivery teams and other stakeholders in Architecture, Data Integration, DevOps, and Data Governance to deliver data platform initiatives
  • Ensure data engineering standards align with industry best practices for data governance, data quality, and data security.
  • Monitor and optimize the performance of data pipelines, ensuring they meet SLAs for data availability and quality.
  • Evaluate and recommend new data technologies and tools to improve data engineering processes and outcomes, in collaboration with the Domain Data Product Delivery teams.
  • Effectively communicate and realize vision and strategy for the organization that aligns with the business and patient needs.
  • Embrace and embed agile ways of working in support of a fail-fast-learn-fast culture and enabling continual improvement.
  • Foster a collaborative work environment with strong working relationships within and across businesses and functions, and with strategic external partners.
  • Manage datasets using Apache Hudi (version 0.11.x and higher), focusing on supporting near real-time data processing and incremental data loading utilizing cutting-edge features for more efficient data lake management and complex data transformation pipelines
  • Implement the latest versions of Terraform (0.12.x and higher) to efficiently handle infrastructure changes and versioning with enhanced security and flexibility

Key Experiences & Attributes:

  • Bachelor’s degree or higher in computer science or relevant subject area
  • Minimum 5+ years of progressive technical experience in one or more of the cloud-based data warehouse/data lake platforms such as AWS S3, Snowflake, Databricks, Microsoft Synapse.
  • Significant experience in leading teams in Data & Analytics programs with experience in native digital technologies (cloud, big data and predictive) in organizations driving product development.
  • Change Agent – Catalyst for the teams and expected to lead the transformation to a fail-fast-learn-fast culture enabling continual improvement.
  • Servant Leader – Able to gain respect from their team and willing to get their hands dirty to get the job done.
  • Courageous - Able to effectively challenge and influence peers and teams, leading them through difficult or uncertain situations.
  • Significant experience working in a global matrix environment.
  • Must be a strategic, innovative problem solver, and have strong influencing and communication skills.
  • Strong knowledge of business process flow and/or entity relationship modeling.
  • Demonstrated outstanding written and verbal communication skills. Ability to work effectively with other technology teams as well as business partners. Ability to effectively present information, interact with, and respond to questions from managers, employees, customers, and vendors
  • Experience in applying best practices to ELT/ETL data transformation from variety of data sources to AWS and other data warehouse platforms like Snowflake, Databricks, Microsoft Synapse etc.

Required Technical Skills:

  • AWS CDK (TypeScript/Python)
  • AWS Glue (ETL, Catalog, Crawlers, Job Bookmarks)
  • AWS Lambda, API Gateway, SQS, SNS, Step Functions, EventBridge
  • Amazon Kinesis, Route 53, S3 (events, triggers)
  • Terraform (0.12+)
  • Apache Hudi (0.11+) and CDC methodologies
  • AWS DMS
  • Apache Spark (2.4+) and PySpark
  • Amazon EMR (5.x+)
  • Python (3.6+) for automation and pipeline development
  • IBM DataStage (for supplemental ETL workflows)
  • Snowflake, Databricks, Microsoft Synapse

Reasonable Accommodation

Vantive is committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please click on the link here and let us know the nature of your request along with your contact information. Form Link

Recruitment Fraud Notice
Vantive has discovered incidents of employment scams, where fraudulent parties pose as Vantive employees, recruiters, or other agents, and engage with online job seekers in an attempt to steal personal and/or financial information. To learn how you can protect yourself, review our Recruitment Fraud Notice.

Skills Required

  • Bachelor's degree or higher in computer science or relevant subject area
  • Minimum 5+ years progressive technical experience with cloud-based data warehouse/data lake platforms (AWS S3, Snowflake, Databricks, Microsoft Synapse)
  • Experience leading teams in Data & Analytics programs and driving product development
  • Designing and maintaining ELT/ETL data transformation pipelines from varied data sources
  • Experience with Apache Hudi (0.11+) and CDC methodologies for near real-time/incremental loading
  • Terraform (0.12+) for infrastructure as code
  • AWS CDK (TypeScript/Python)
  • AWS Glue (ETL, Catalog, Crawlers, Job Bookmarks)
  • AWS Lambda, API Gateway, SQS, SNS, Step Functions, EventBridge
  • Amazon Kinesis, Route 53, S3 (events, triggers)
  • AWS DMS
  • Apache Spark (2.4+) and PySpark
  • Amazon EMR (5.x+)
  • Python (3.6+) for automation and pipeline development
  • IBM DataStage for supplemental ETL workflows
  • Experience with Snowflake, Databricks, Microsoft Synapse
  • Strong communication, influencing skills, and ability to work in a global matrix environment
  • Demonstrated strategic problem solving, servant leadership, and change-agent mindset
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The Company
5,800 Employees
Year Founded: 2023

What We Do

Vantive is a standalone vital organ therapy company dedicated to extending lives and expanding possibilities for patients and care teams globally. Building on a 70-year legacy in kidney care, Vantive provides innovative therapies, digital solutions, and advanced services for dialysis and critical care. The company operates in over 100 countries, focusing on improving outcomes for millions of patients through its integrated approach to organ support.

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