Strategic Cloud Cost Optimization Engineer

FinOps Data Engineer Job SummaryWe are seeking a skilled FinOps Data Engineer to join our team. The ideal candidate will have a strong background in data engineering, cloud cost management, and financial operations.This role involves designing and implementing ETL pipelines, building cost dashboards, ensuring tagging compliance, detecting anomalies, and collaborating with stakeholders to optimize cloud spend.ResponsibilitiesDesign and develop ETL solutions for cost and usage data using best practices for data warehousing and analytics.Analyze cloud cost and usage across AWS, Databricks, and other Cloud & On-Prem platforms.Build and maintain cloud cost dashboards and reporting solutions for visibility across LOBs and programs.Implement tagging standards and establish compliance checks and generate reports to ensure adherence to tagging standards.Detect & Analyze cost anomalies and usage patterns; proactively identify optimization opportunities using AWS Cost explorer, Databricks System tables & backup tables as driver.Collaborate with stakeholders (DevOps, Application teams, Finance, Architect, Infra) to implement cost-saving strategies following FinOps Foundation standards.Develop automated workflows for data ingestion, transformation, and validation.Document processes, data flows, and standards for FinOps operations.Work with vendors and internal teams to ensure KPIs for cost and tagging compliance are met.Enable accurate showback/chargeback models aligned to LOB/Program.Support forecast vs. actual reporting and provide monthly FinOps insights by enabling automated workflows, alerts, notifications, guardrails.Work with DevOps teams on cluster governance, resource control, policy enforcement, guardrails, build cost validation queries, build granular user level cost at tags like LOBs, data products, sessions and roll up to workspace level cost.Manage pipelines for ETL jobs, infrastructure automation, and monitoring tools.Implement cost-aware DevOps practices (auto-scaling, scheduling, workload orchestration).Collaborate on implementing cluster policies, SQL warehouse governance, and operational efficiency.Have deep working knowledge of on-prem & cloud ESB architecture to address the client's requirements for scalability, reliability, security, and performance.Provide technical assistance in identifying, evaluating, and developing systems and procedures.Manage foundational data administration tasks such as scheduling jobs, troubleshooting job errors, identifying issues with job windows, assisting with Database backups and performance tuning.Design, Develop, Test, Adapt ETL code & jobs to accommodate changes in source data and new business requirements.Proactively communicate innovative ideas, solutions, and capabilities over and above the specific task requestEffectively communicate status, workloads, offers to assist other areas.Collaboratively work with a team and independently. Continuously strive for high performing business solutionsRequirements6+ years in Data Engineering with strong ETL design, development, and optimization experience.Hands-on experience with AWS services and cost management tools.Strong knowledge of tagging strategies and governance in multi-cloud environments.Proficiency in SQL, PL/SQL, and data warehousing best practices.Experience with DevOps practices, CI/CD pipelines, and automation tools.Familiarity with FinOps principles and cloud cost optimization techniques.Ability to analyze large datasets and detect anomalies using scripting or BI tools (e.g., Power BI, Tableau).Excellent communication skills to work with technical and business stakeholders.Strong problem-solving capabilities. Results oriented. Relies on fact-based logic for decision-making.Ability to work with multiple projects and work streams at one time. Must be able to deliver results based upon project deadlines.Willing to flex daily work schedule to allow for time-zone differences for global team communications.Strong interpersonal and communication skillsCultural FitLeadership qualities and mentoring others on team.Experience with other ETL tools/servicesData integration experience using platforms.Experience in visualization tools, Tableau, PowerBI or other tools.Experience in developing basic data science models using Python or a similar languageMotivational/Cultural Fit: This role requires a motivated individual who is passionate about optimizing cloud costs and improving data-driven decision making. The successful candidate will thrive in a fast-paced environment and possess excellent communication and collaboration skills.KPIs: The key performance indicators for this role include:Successful implementation of ETL pipelines and cost dashboards.Identification and mitigation of cost anomalies and usage patterns.Improved tagging compliance and reduced risk of non-compliance.Enhanced collaboration and communication with stakeholders.Benefits: In addition to a competitive salary and benefits package, the successful candidate will have access to ongoing training and professional development opportunities to enhance their skills and knowledge in cloud cost management and FinOps.Job Type: Full-time