Senior Analytics Platform Engineer

<p>Job Description</p><p></p><p><span>Are you an innovative technical expert, looking for an opportunity to use your technology skills and strengths to impact on a product centric data and analytics organization within an enterprise? Are you looking for an opportunity where you will be able to help various products and services teams build their solutions in a modular fashion, which enables an end-to-end customer journey in an integrated fashion? Are you looking to go beyond just platforms and technologies and build true value add, self-serve data and analytics products? If so, come join us and help us build one of the industry’s most complete and advanced data and analytics eco systems.</span></p><p><span> </span></p><p><span>As the </span><b><span>Senior Analytics Platform Engineer</span></b><span>, you will be responsible for developing solutions to support the delivery of product roadmaps for multiple Data Analytics platforms. You will engage with technical product manager, architect, and other members of the organization to design and deliver solutions to address business needs. You will also be responsible for testing the solutions, updating SDLC documentation and releasing capabilities as part of specific product releases. </span></p><p><i><b><span> </span></b></i></p><p></p><p><b><span>What you'll do</span></b></p><ul><li><p><span>Architect, build, deploy, and maintain cloud infrastructure, containerization, and orchestration (e.g., Kubernetes) to support our application and data integration platform.</span></p></li><li><p><span>Lead technical implementation of platform features and manage their adoption across engineering and product teams.</span></p></li><li><p><span>Collaborate with product managers and customers to understand requirements and translate them into scalable, secure infrastructure solutions.</span></p></li><li><p><span>Participate in product planning: contribute to backlog prioritization, provide estimations, and support timely delivery of enhancements.</span></p></li><li><p><span>Ensure platform availability and reliability; monitor performance and implement optimizations.</span></p></li><li><p><span>Proactively identify and implement cost-saving opportunities for cloud and platform resources.</span></p></li><li><p><span>Collect and act on user feedback to improve platform usability and adoption.</span></p></li><li><p><span>Work effectively in a matrix organization, aligning functional engineering goals with product priorities.</span></p></li></ul><p></p><p><b><span>Required skills</span></b></p><ul><li><p><span>Minimum 5-7 years of experience in software/platform engineering practices (including versioning, release management, deployment, agile &amp; related software tools - GitHub Actions, Cloudbees CD, Terraform, Cloudformation, Kubernetes etc</span></p></li><li><p><span>Extensive Hands-on experience designing, deploying, and operating cloud-native infrastructure (AWS preferred; experience with Azure or GCP acceptable).</span></p></li><li><p><span>Good Experience in Data &amp; integration and understanding data analytics concepts, ETL/ELT and integration platform architecture.</span></p></li><li><p><span>Strong understanding and experience in data analytics ecosystem and prefer to have experience in the data ingestion, curation and orchestration tools (Ex. dbt cloud, Matillion, Airflow)</span></p></li><li><p><span>Good knowledge of cloud networking, security best practices, and cost optimization</span>.</p></li><li><p><span>Experience with container platforms and orchestration (Kubernetes, Docker).</span></p></li><li><p><span>Proficient with IaC tools (Terraform, CloudFormation or equivalent).</span></p></li><li><p><span>Strong experience building and maintaining CI/CD pipelines and automation (GitHub Actions, Jenkins, GitLab CI, etc.).</span></p></li><li><p><span>Practical <span>programming/scripting</span> skills (Python, Bash/Shell).</span></p></li><li><p><span>Comfortable working on Linux/Unix environments.</span></p></li><li><p><span>Solid understanding of version control, release management, deployments, and related tooling.</span></p></li><li><p><span>Familiar with SDLC, basic QA/testing practices, and release verification.</span></p></li><li><p><span>Experience with monitoring, logging and observability tooling (Prometheus, Grafana, Acceldata or similar).</span></p></li><li><p><span>Proven ability to maintain platform availability, troubleshoot production issues, and implement optimizations.</span></p></li><li><p><span>Solid understanding of version control, release management, deployments, and related tooling.</span></p></li><li><p><span>Familiar with SDLC, basic QA/testing practices, and release verification.</span></p></li><li><p><span>Experience working closely with product teams; able to translate customer needs into technical solutions.</span></p></li><li><p><span>Product- and customer-centric mindset with experience participating in product lifecycle activities.</