2 days ago
Responsibilities
- Define and lead the architecture and strategy for UKG’s Unified FinOps Platform across AWS and GCP.
- Design and implement scalable cloud-native data products and pipelines integrating billing, usage, telemetry, allocation, commitment, discount, financial, and operational data.
- Build forecasting, budget planning, scenario modeling, capacity planning, unit economics, and cost-to-serve capabilities.
- Establish the data foundation for AskFinOps and future AI-driven FinOps capabilities, including anomaly detection and optimization recommendations.
- Drive platform modernization through automation, observability, governance, and self-service analytics.
- Establish standards for data quality, lineage, observability, security, compliance, and SOX-compliant enterprise reporting.
- Partner cross-functionally with FinOps, Finance, Engineering, Product, Architecture, and Data organizations.
- Mentor and guide Data Engineers and Analysts while influencing FinOps technology strategy and roadmap.
Requirements
- 10+ years of experience in Data Engineering, Data Platform Architecture, or Analytics Engineering.
- 5+ years leading enterprise-scale cloud-native data platforms.
- Proven experience designing and implementing large-scale data architectures and platforms.
- Experience building data products that support financial, operational, or business-critical decision-making.
- Expert-level SQL and Python development skills.
- Deep expertise in cloud-native data ecosystems across AWS and/or GCP.
- Experience with modern data platforms such as BigQuery, Snowflake, Databricks, Redshift, or equivalent technologies.
- Expertise in ETL/ELT architecture, data orchestration, and data observability frameworks.
- Strong understanding of API integration, streaming architectures, and distributed data systems.
- Experience implementing data governance, lineage, and data quality frameworks.
- Experience with FinOps, cloud financial management, cloud cost optimization, forecasting, financial analytics, unit economics, AI, machine learning, or intelligent automation is preferred.
- FinOps certification, AWS or GCP Professional-level certification, and a master’s degree are preferred.
- Bachelor’s degree in Computer Science, Engineering, Analytics, Information Systems, or a related discipline is required.
Benefits
- The role is located in Noida, India.
- UKG states that it offers real flexibility and benefits employees can count on.
- UKG is an equal opportunity employer committed to diversity and inclusion and provides disability accommodation during the application and interview process.
Tech Stack
Categories
Data Engineering
About UKG
UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry — because great organizations know their workforce is their competitive edge.