2 months ago
Bengaluru, IndiaStaff+
Responsibilities
- Set architecture, engineering standards, and reusable frameworks for data engineering on Google Cloud and BigQuery.
- Lead adoption of generative and agentic AI for data discovery, development, testing, and documentation.
- Design and deliver production AI-powered data solutions, including natural-language data access and data agents.
- Architect and deliver large-scale production data platforms and solve complex data engineering problems.
- Partner with business, finance, and leadership stakeholders to shape strategy and own trusted outcomes.
- Mentor senior and lead engineers and improve the team’s engineering and AI capabilities.
Requirements
- 10+ years of experience in data engineering and data warehousing with a track record of technical leadership.
- Deep hands-on expertise with Google Cloud and BigQuery, advanced SQL and Python skills, and finance domain expertise.
- Experience architecting and delivering large-scale production data platforms.
- Hands-on experience using generative and agentic AI tools such as Claude or Codex in real delivery work.
- Experience setting engineering standards and mentoring senior engineers.
- Preferred qualifications include AI-powered data capabilities, finance or accounting data, data governance, data lineage, Microsoft Azure data stack familiarity, and Google Cloud certification such as Professional Data Engineer or Cloud Architect.
Benefits
- Flexible work environment and company benefits are provided, with specific benefits not detailed in the posting.
About UKG
UKG builds cloud software for human capital and workforce management—HR, payroll, timekeeping, and scheduling—sold as SaaS to mid‑size and large employers. Formed in 2020 by the merger of Ultimate Software and Kronos, it is privately held by Hellman & Friedman and has dual headquarters in Lowell, Massachusetts, and Weston, Florida. Its platform helps organizations handle pay, compliance, and workforce planning across industries.