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Senior Manager - Data Engineering

Senior Manager - Data Engineering

Salesforce

10 - 15 years

50 - 55 Lacs

Hyderabad

Posted:3 days ago| Platform:

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Skills Required

Career development Backend metadata Architecture Data modeling data governance System design Stakeholder management Analytics Salesforce

Work Mode

Work from Office

Job Type

Full Time

Job Description

As a Senior Manager , you ll lead a team of talented engineers in designing and building trusted, scalable systems that capture, process, and surface rich product signals for use across analytics, AI/ML, and customer-facing features- You ll guide architectural decisions, drive cross-functional alignment, and shape strategy around semantic layers, knowledge graphs, and metrics frameworks that help teams publish and consume meaningful insights with ease-

We re looking for a strategic, systems-minded leader who thrives in ambiguity, excels at cross-org collaboration, and has a strong technical foundation to drive business and product impact-

What You ll Do

Lead and grow a high-performing engineering team focused on batch and streaming data pipelines using technologies like Spark, Trino, Flink, and DBT
Define and drive the vision for intuitive, scalable metrics frameworks and a robust semantic signal layer
Partner closely with product, analytics, and engineering stakeholders to align schemas, models, and data usage patterns across the org
Set engineering direction and best practices for building reliable, observable, and testable data systems
Mentor and guide engineers in both technical execution and career development
Contribute to long-term strategy around data governance, AI-readiness, and intelligent system design
Serve as a thought leader and connector across domains to ensure data products deliver clear, trusted value

What We re Looking For

10+ years of experience in data engineering or backend systems, with at least 2+ years in technical leadership or management roles
Strong hands-on technical background, with deep experience in big data frameworks (e-g-, Spark, Trino/Presto, DBT)
Familiarity with streaming technologies such as Flink or Kafka
Solid understanding of semantic layers, data modeling, and metrics systems
Proven success leading teams that build data products or platforms at scale
Experience with cloud infrastructure (especially AWS S3, EMR, ECS, IAM)
Exposure to modern metadata platforms, Snowflake, or knowledge graphs is a plus
Excellent communication and stakeholder management skills
A strategic, pragmatic thinker who is comfortable making high-impact decisions amid complexity

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Senior Manager - Data Engineering