> Markdown version of [/jobs/ext/2580873-data-platform-engineer](https://www.wearedevelopers.com/jobs/ext/2580873-data-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # data platform engineer - **Company:** EXL LIFE PRO - **Location:** Scottsdale, AZ, United States - **Experience:** Expert - **Salary:** $110,000.0 - $130,000.0 - **Contract:** Permanent contract - **Skills:** Active Directory, Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Bash Shell, CentOS, Cloud Computing, Cloudera Impala, Configuration Management, Software Documentation, Continuous Integration, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Domain Name System (DNS), Apache Hadoop, Hadoop Distributed File System, Monitoring of Systems, Apache Hive, Kerberos (Protocol), Lightweight Directory Access Protocols (LDAP), Linux System Administration, Apache Oozie, Role-Based Access Control, Red Hat Enterprise Linux, Ansible, Prometheus, Cloudera, Shell Script, Apache Solr, SQL Databases, Load Balancing, Apache Yarn, Cloudera Manager, Grafana, Apache Spark, Infrastructure Automation Frameworks, Information Technology, Cassandra, Apache Kafka, Splunk, Data Pipelines, Docker - **Published:** August 4, 2026 - **Apply:** https://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2/jobs/preview/17480 ## About the Role * 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, Graduate in Computer Science, or related field. 6+ years of experience in data engineering or a related field. ## Description 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., * 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). ## Related Videos - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)