Senior Data Platform Administrator

Genpact

Orlando (FL)

Hybrid

USD 130,000 - 140,000

Full time

2 days ago
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Job summary

Genpact is hiring a Senior Data Platform Administrator to bridge core infrastructure and data engineering. You will build, optimize, and maintain data warehouse environments on cloud and on‑premises, focusing on scalability, security, and cost efficiency.

This role requires hands-on Python scripting and automation to integrate apps and hosting platforms through modern tooling. The position is based in Orlando with a Mon‑Thu client location and remote work on Fridays; strong AWS and Snowflake

Qualifications

  • Bachelor’s degree in computer science, information technology, or related field (or equivalent practical experience).
  • Experience as a Cloud Platform Engineer, Data Platform Administrator, or DevOps Engineer with data ecosystem focus.
  • Hands-on administration experience with modern cloud platforms, particularly AWS.
  • Familiarity with Snowflake, S3, Polaris, AWS Glue, etc.
  • Strong proficiency with Terraform, Docker, and CI/CD (GitHub Actions, GitLab, Jenkins).
  • Experience programming in Python and deploying containerized solutions.
  • Ability to design automated data platform integrations and ensure governance.
  • Excellent communication and collaboration with senior leadership.

Responsibilities

  • Architect, provision, and maintain scalable, secure cloud environments for data workloads on AWS.
  • Establish guardrails: IAM, security policies, naming conventions, tagging.
  • Monitor and optimize cloud costs, compute, and storage, including EMR/Spark and data pipelines.
  • Develop CI/CD deployment patterns and IaC automation for Data Engineering teams.
  • Manage IaC with Terraform or CloudFormation and automate provisioning.
  • Ensure high availability, monitoring, and troubleshooting for batch and streaming pipelines.
  • Administer and upgrade data processing frameworks (Spark, Airflow, Kafka).
  • Lead Snowflake RBAC, warehouses, cost controls, and integration with Iceberg on S3.

Skills

Cloud platform engineering
Data platform administration
Python scripting
IaC tooling
CI/CD experience
AWS experience

Education

Bachelor’s degree in computer science or related field

Tools

Terraform
Docker
GitHub Actions
GitLab
Jenkins
Snowflake
Amazon S3
Polaris
AWS Glue
Apache Spark
Apache Airflow
Kafka
Apache Iceberg
boto3
AWS Lambda
PrivateLink
VPC

Job description

At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment.

Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cuttingedge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.

Inviting applications for the role of Senior Data Platform Administrator

Role Overview

As a Senior Data Platform Administrator, you will bridge the gap between core infrastructure and data engineering. You will be responsible for building, optimizing, and maintaining the data warehouse environments on cloud as well as On-premises, where data pipelines and analytical workloads are hosted. Your focus will be on the scalability, security, and cost-efficiency of our shared data platforms. Role requires hands‑on scripting experience using Python and a design first approach to deliver technical artefacts. This role will be responsible to integrate applications and hosting platforms through automation and awareness of data warehousing ecosystem. This role requires working from Client location in Orlando from Mon-Thu and can work remotely on Fri.

Key Responsibilities
  • Architect, provision, and maintain robust, scalable, and secure cloud environments on AWS, optimized for data-intensive workloads.
  • Establish and maintain "guardrails" including IAM, security policies, naming conventions, and resource tagging.
  • Enforce operational practices by monitoring, auditing, and optimizing cloud compute (e.g., EC2, EMR, Snowflake) and storage (e.g., S3) to manage costs.
  • Build reusable deployment patterns and CI/CD automation to facilitate environment provisioning for the Data Engineering team.
  • Manage infrastructure lifecycle using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.
  • Monitor platform health, manage alerts, and troubleshoot system‑level bottlenecks to ensure high availability for batch and streaming data pipelines.
Data Platform Maintenance
  • Administer, patch, and upgrade distributed data processing frameworks and engines (e.g., Apache Spark, Apache Airflow, Kafka, Polaris).
  • Own the database administration lifecycle for cloud-native data stores, including backup/recovery, query optimization, and HA/DR (High Availability/Disaster Recovery).
  • Serve as the subject matter expert on cloud operations, mentoring junior engineers and assisting Data engineers with environment access and permissions.
  • Strong hands‑on experience with AWS networking, including VPCs, public and private subnets, route tables, NAT gateways, Security Groups, NACLs, VPC endpoints, and PrivateLink, with the ability to troubleshoot connectivity issues end to end.
  • Proven production experience running Spark on EMR Serverless, including application tuning, worker sizing, custom images, private subnet setup, execution roles, troubleshooting with Spark UI and CloudWatch, and orchestration from Airflow.
  • Advanced Snowflake administration experience covering RBAC, warehouses, cost controls, security policies, query tuning, and integration with Apache Iceberg tables on S3 through catalogs such as Polaris and Glue.
  • Very strong automation and scripting skills in Python, with a track record of automating platform operations such as provisioning, job submission, monitoring, cost reporting, and access management using boto3, AWS Lambda, and containerized solutions.
  • Solid knowledge of IAM roles and policies, cross‑account access, KMS encryption, Secrets Manager, and resource tagging, with experience enforcing these guardrails to meet compliance standards.
  • Partner with Data Engineering team, Data Strategy team, and Compliance teams to ensure data platforms comply with regulatory and compliance standards.
Qualifications & Requirements
  • Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent practical experience).
  • Experience as a Cloud Platform Engineer, Data Platform Administrator, or DevOps Engineer, with a strong emphasis on data ecosystem support.
  • Hands‑on administration experience with modern cloud platforms, particularly in AWS.
  • Familiarity with modern data stack tools such as Snowflake, Amazon S3, Apache Polaris, AWS Glue etc.
  • Strong proficiency with Infrastructure as Code (Terraform), Containerization stack such as Docker, and preferably experienced in CI/CD pipelines (GitHub Actions, GitLab, Jenkins).
  • Strong in designing and development of code to automate service integrations using serverless architecture using Python development environment executed as containerized solution (ex: Docker containers)
  • Exceptional problem‑solving abilities, strong communication skills for cross‑functional collaboration, and a proven track record of creating developer‑friendly platforms and ability to communicate with senior leadership.
  • Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation
  • Make an impact – Drive change for global enterprises and solve business challenges that matter
  • Accelerate your career – Get hands‑on experience, mentorship, and continuous learning opportunities
  • Work with the best – Join 140,000+ bold thinkers and problem‑solvers who push boundaries every day
  • Thrive in a values‑driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress

Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.

Let’s build tomorrow together.

The approximate annual base compensation range for this position is $130k - $140k per annum. The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant’s experience, knowledge, skills, and abilities; geographic location; and internal equity

Los Angeles, California based candidates are not eligible for this role.

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.

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