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Deloitte

Executive Manager | Data Engineering | Bengaluru | Engineering as a Service/ Operate

Bengaluru · Senior

Good timing - competition is buildingVerified listingPosted 5d ago

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64Skills
97Experience

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Skills required

9 listed
Data Processing SystemsAmazon Web ServicesReporting ToolsElasticsearchDatabricksPython (Programming Language)Application Programming Interface (API)Tableau (Business Intelligence Software)+1 more
Data Processing SystemsAmazon Web ServicesReporting ToolsElasticsearchDatabricks

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Job description

Role: Senior Manager Data Engineering

Experience:12-16

Overview

Data is a big deal. We ingest billions events each month into analytics platform and there are dozens of teams across the company depending on the platform to drive their decisions. We are looking for a senior data engineering manager to join our growing Data Engineering Org. In this role, you will lead a high-performing team of engineers focused on designing, building, and scaling foundational analytical data products that power decision-making across the company. You will partner closely with cross-functional stakeholders to define data strategies, improve data quality and reliability, and deliver reusable data models, pipelines, and platforms that enable analytics at scale. This is a critical leadership role at the intersection of data architecture, engineering excellence, and business impact.

Responsibilities

In this role you will get to

  • Build and lead a team of data engineers through hiring, coaching, mentoring, and hands-on career development.
  • Provide deep technical guidance and support the team in driving large projects within complex dependencies and multiple stakeholders.
  • Collaborate with various stakeholders, gather deep domain expertise, and own delivery of projects across multiple streams.
  • Collaborate in technical/architectural discussions, provide direction, and drive decision-making.
  • Inspire innovation and operational excellence within the team and influence other Data Engineering teams.

Qualifications

On your first day, we'll expect you to have:

  • You have a Bachelor's or Master's degree in Computer Science or related field of study and at least 6-8 years of experience as an individual contributor in a Data Engineering or related Software Engineering role.
  • You have 4+ years of experience managing data or related software teams.
  • You have a track record of driving and delivering large (multi-person or multi-team) and complex projects.
  • You are a great communicator and maintain many of the essential cross-team and cross-functional relationships necessary for the team's success.
  • Industry experience working with large-scale, high-performance data processing systems (batch and streaming) with a "Streaming First" mindset to drive business growth and improve the product experience.
  • You have stellar people management skills and experience leading agile data or related software teams.
  • You are passionate about grooming talent and helping them reach their highest potential.
  • You can drive technical excellence, pushing for innovation and quality.
  • Experience working with public cloud offerings such as Amazon Web Services, DynamoDB, ElasticSearch, S3, Databricks, Spark/Spark-Streaming, and Databricks.

We'd be super excited if you have

  • Experience with at least one high-level programming language, such as Python
  • Understanding and experience building RESTful APIs and microservices
  • Experience with Tableau or other reporting tools.
  • Basic understanding of Experimentation.

 

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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

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Join WhatsAppJoin Telegram

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Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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