Home
Communities
Companies
- Companies
  
  Discover best places to work
- Compare Companies
  
  Compare & find best workplace
- Add Office Photos
  
  Bring your workplace to life
- Add Company Benefits
  
  Highlight your company's perks
Reviews
- Company reviews
  
  Read reviews for 6L+ companies
- Write a review
  
  Rate your former or current company
Salaries
- Browse salaries
  
  Discover salaries for 6L+ companies
- Salary calculator
  
  Calculate your take home salary
- Are you paid fairly?
  
  Check your market value
- Share your salary
  
  Help other jobseekers
Interviews
- Company interviews
  
  Read interviews for 40K+ companies
- Campus placements
  
  Interviews questions for 1K+ colleges
- Share interview questions
  
  Contribute your interview questions
Jobs
Awards

RATE NOW!
- ABECA 2025
  
  RATE NOW!
  
  AmbitionBox Employee Choice Awards - 4th Edition
- ABECA 2024
  
  AmbitionBox Employee Choice Awards - 3rd Edition
- AmbitionBox Best Places to Work 2022
  
  2nd Edition
- AmbitionBox Best Places to Work 2021
  
  1st Edition

Add office photos

Employer? Claim Account for FREE

Salesforce

Compare

4.1

based on 802 Reviews

144 Salesforce Jobs

Senior Manager, Data Engineering

Salesforce

4.1

based on 802 Reviews

8-13 years

Hyderabad / Secunderabad, Bangalore / Bengaluru

1 vacancy

Senior Manager, Data Engineering

Salesforce

posted 4hr ago

Job Role Insights

Flexible timing

Key skills for the job

Salesforce SQL Operations Information Technology Agile Coaching Operational Excellence

+ 3 more

Job Description

The Technology COO organization at Salesforce is dedicated to driving operational excellence and innovation across our technology teams. We support a broad range of functions including Content Experience, Learning & Enablement, Agile teams and more. Our mission is to empower the Technology organization with the programs, enablement, data, tools, and insights they need to succeed.

We are seeking a talented and motivated Data Analyst/Engineer to join our team. In this role, you will be responsible for designing, developing, and maintaining data infrastructure and solutions that support our diverse organizational needs. You will work closely with cross-functional teams to create reports, dashboards, frameworks, architectures, and data strategies that drive informed decision-making and operational efficiency. You will also champion the use of AI and agents to accelerate our ability to build and deploy data-related solutions.

Responsibilities

Build and maintain scalable data pipelines from various data sources into multiple data warehouses.
Design and enhance data models to accommodate evolving data needs and ensure data quality.
Develop and maintain dashboards and reports to provide actionable insights to stakeholders.
Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
Implement data governance and best practices to ensure data integrity and compliance.
Optimize data storage and retrieval processes for performance and scalability.
Develop end-to-end solutions using internal and open-source ETL frameworks.
Automate and improve existing data processes for quicker turnaround and higher productivity.
Act as a liaison with internal teams to meet project deadlines in a fast-paced environment.

Required Skills & Experience

Bachelors or Masters degree in Computer Science, Information Technology, or a related field.
At least 8 years of experience in a data engineering/analyst role.
Hands-on experience with Salesforce products such as Tableau and Data Cloud is preferred.
Strong proficiency in SQL and experience with relational databases.
Hands-on familiarity with big data technologies (ex. Hadoop).
Experience in building ETL solutions using tools or custom ETL frameworks.
Proficiency in Python with at least 5 years of scripting experience; shell scripting is a plus.
Good knowledge of database performance concepts such as indices, segmentation, projections, and partitions.
Strong analytical skills and the ability to work independently with limited supervision.
Experience working with supporting teams and senior leaders in seeing the value of data-driven decision making.
Strong communication and collaboration skills, with a keen ability to partner with global teams.