Responsibilities :
Platform & Technical Leadership
- Lead the architecture, engineering, and delivery of key platform components across data observability, developer tooling, and use-case enablement within the Lumi platform.
- Champion modern data engineering best practices and distributed computing frameworks such as Apache Spark, Beam, and Flink.
- Drive platform scalability, high availability, and performance across petabyte-scale data workloads.
- Evaluate and integrate emerging technologies to maintain platform leadership.
- Strategic Execution & Transformation ;
- Spearhead the migration of on-prem Hadoop workloads (Hive, MapReduce, Spark) to public cloud platforms (GCP preferred; AWS / Azure experience also valuable).
- Define and drive multi-year platform strategy and OKRs aligned with enterprise data goals.
- Collaborate across cloud engineering, security, infrastructure, and product teams to deliver cohesive and innovative platform solutions.
People Leadership & Talent Development :
Build, mentor, and lead a world-class engineering team with a strong culture of technical excellence, accountability, and innovation.Conduct performance reviews, lead career development planning, and oversee all talent processes.Actively recruit top engineering talent with a growth mindset and strong emotional intelligence.Agile & DevOps Excellence :
Lead teams using Lean and Agile methodologies for iterative product development.Ensure 24x7 platform reliability and operational support with best-in-class incident response strategies.Foster a culture of continuous improvement, automation, and DevOps maturity.Cross-Functional Collaboration :
Act as the principal point of contact for executive leadership, product stakeholders, and technical teams.Drive stakeholder alignment, transparent communication, and timely updates on risk and progress.Launch developer advocacy programs to encourage internal adoption and external platform excellence.Requirements :
10+ years of software engineering experience, with at least 5 years in leadership roles.Proven expertise in large-scale Big Data platform engineering, preferably on Google Cloud Platform (GCP) or similar public cloud environments (AWS, Azure).Hands-on experience with distributed data frameworks (e. g., Apache Spark, Beam, Flink).Strong understanding of MPP systems, PostgreSQL, NoSQL technologies (HBase, Cassandra).Track record of delivering enterprise-grade solutions with defined KPIs and measurable success.Strong written and verbal communication skills; experience influencing senior leadership.Certifications in GCP, AWS, or Azure.Experience leading developer experience or developer productivity initiatives at scale.Expertise with data governance, observability, or security tooling in cloud ecosystems.PMP, PgMP, or Agile certifications (Scrum Master, SAFe) are a plus.Bachelor's degree in Computer Science, Computer Engineering, or a related field (Master's preferred).ref : hirist.tech)