Engineering Manager, Data Platform

Job Description

• This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Engineering Manager, Data Platform in India. This role sits at the intersection of data architecture, platform engineering, and people leadership, driving the systems that power enterprise-wide analytics and reporting. You will lead a high-impact engineering team responsible for building scalable, reliable, and high-performance data infrastructure used across the organization. The position blends strategic ownership with hands-on technical direction, especially around semantic data modeling and data sharing frameworks. You will collaborate closely with product, architecture, and business stakeholders to shape the roadmap of a modern data platform. The environment is fast-paced, cloud-native, and focused on engineering excellence and operational maturity. This is a leadership role where your decisions directly influence data accessibility, performance, and trust across the business.
• Accountabilities: Lead and mentor a team of 5+ data engineers, fostering a culture of ownership, continuous improvement, and psychological safety while supporting career growth and performance excellence. Define and drive the technical vision for the data platform, with a strong focus on scalable architecture, semantic layer design, and enterprise-grade data sharing capabilities. Oversee platform reliability, performance optimization, and query efficiency to ensure fast, consistent, and secure access to data across the organization. Partner with product managers and architecture teams to translate business requirements into actionable technical roadmaps and engineering priorities. Own operational excellence including monitoring, alerting, incident response, on-call processes, and platform health metrics. Establish engineering standards for CI/CD, data governance, data quality, lineage, and access control across the platform. Guide complex technical initiatives such as semantic modeling, data mesh patterns, and observability improvements to strengthen platform maturity. Requirements The ideal candidate brings 8+ years of experience in data or software engineering, including at least 2+ years in a leadership role managing engineering teams. You should have strong experience designing and scaling enterprise data platforms with deep expertise in semantic modeling and data sharing. Hands-on experience with modern data stack tools such as dbt and semantic frameworks like MetricFlow is essential, along with strong proficiency in Snowflake and advanced SQL. Familiarity with Apache Spark, Python, and Snowpark is highly desirable. You should have strong operational experience owning production systems, including incident management, on-call processes, and reliability engineering practices. A solid understanding of CI/CD pipelines (e.g., GitHub Actions) and data observability tools such as DataDog or Monte Carlo is expected. Excellent communication skills are critical, with the ability to influence stakeholders, explain technical trade-offs, and drive alignment across teams. Experience with data governance, performance tuning, and scalable distributed systems is highly valued. Benefits Competitive compensation package aligned with industry standards Flexible remote-first work environment with global collaboration opportunities Health, wellness, and employee assistance programs Learning and development support with opportunities for continuous upskilling Inclusive and collaborative culture focused on innovation and engineering excellence Exposure to large-scale data systems and modern cloud-native technologies Strong emphasis on work-life balance and employee well-being.
• How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1
• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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