EXL

Data Platform Engineer

EXL · United States · $110K–$130K/yr

Business Consulting and Services · 10,001+ employees

7 h ago
Senior (5-10 yrs) Full-time United States
Log in to apply, save this posting, or score it against your profile with AI.

About the role

The engineer will design, deploy, and automate enterprise data platform infrastructure using Cloudera Data Platform. They will also collaborate with cross-functional teams to ensure platform reliability, security, and optimization for critical data workloads.

What they look for

Cloudera Data Platform Ansible Hadoop SQL Data Modeling Airflow ETL/ELT Linux Shell Scripting Python Git Jenkins CI/CD Prometheus Grafana Splunk

Requirements

Candidates must have 6-9 years of experience in data engineering or a related field with a strong background in Hadoop ecosystem components and automation tools. A degree in Computer Science or a related field is required.

Full description

Job Title: Data Platform engineer

Experience: 6 to 7 years

Location: Hybrid - Scottsdale, Arizona

No. of Positions: 1

Job Summary

We are seeking a data platform engineer who will be responsible for responsible for designing, deploying, automating, and supporting enterprise data platform infrastructure built on Cloudera Data Platform (CDP). The role emphasizes platform reliability, automation, and operational excellence by leveraging Ansible to provision, configure, patch, and manage large-scale Hadoop and cloud-based data environments. Working closely with infrastructure, security, DevOps, and data engineering teams, the engineer ensures the platform remains secure, highly available, scalable, and optimized to support critical financial data processing and analytics workloads.

Key Responsibilities

  • Deploy, administer, and maintain Cloudera Data Platform (CDP) clusters across development, testing, and production environments.
  • Automate infrastructure provisioning, software installation, configuration management, and patching using Ansible playbooks and roles.
  • Monitor platform health, troubleshoot performance issues, and optimize Hadoop ecosystem services.
  • Perform cluster upgrades, capacity planning, disaster recovery testing, and lifecycle management.
  • Implement security controls including Kerberos, LDAP/Active Directory integration, TLS, and role-based access control.
  • Collaborate with data engineering and application teams to support ingestion, processing, and analytics workloads.
  • Develop operational automation and CI/CD workflows to improve platform efficiency and reduce manual effort.
  • Maintain system documentation, standard operating procedures, and automation artifacts.
  • Ensure platform compliance with enterprise security, governance, and regulatory standards.
  • Participate in 24 hrs on-call support in rotation (secondary and primary Pager duty).

Required Skills & Qualifications

  • Strong experience in SQL and data modeling
  • Experience with workflow orchestration tools like Airflow
  • Good understanding of ETL/ELT processes and data pipeline architecture
  • Familiarity with cloud platforms (AWS/Azure/GCP) is a plus
  • Strong problem-solving and analytical skills
  • Excellent Communication skills
  • Ability to effectively collaborate with global stakeholders and teams
  • Cloudera Data Platform (CDP) and Cloudera Manager
  • Ansible automation, playbook development, and configuration management
  • Linux system administration (RHEL/CentOS)
  • Hadoop ecosystem components (HDFS, YARN, Hive, Impala, Spark, Solr, Kafka, Oozie)
  • Shell scripting (Bash) and Python
  • Git, Jenkins, and CI/CD pipelines
  • Monitoring tools such as Prometheus, Grafana, or Splunk
  • Networking, DNS, load balancing, and storage concepts
  • Cassandra (docker) knowledge is a plus.
  • AI knowledge will be welcomed
  • Experience in fintech and banking would also count

EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.

EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.

EXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration – and we’ve been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that’s unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It’s our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we’re some of the best in the business. Contact us to see how we can help you achieve your goals.