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Employment: Unconfirmed

What you’ll work on

Design, implement, and build pipelines that deliver data with measurable quality under SLA.
Partner with data architects, domain experts, data analysts, and other teams to build trusted, well-understood foundations aligned with business strategy that enable self-service.
Own and document data pipelines and data lineage.

From the employer’s posting

Responsibilities Design, implement, and build pipelines that deliver data with measurable quality under SLA. Assemble complex, large data sets that meet functional requirements.

Assemble complex, large data sets that meet functional requirements. Partner with data architects, domain experts, data analysts, and other teams to build trusted, well-understood foundations aligned with business strategy that enable self-service. Champion the overall strategy for data governance, security, privacy, quality, and retention in line with business policies.

Champion the overall strategy for data governance, security, privacy, quality, and retention in line with business policies. Own and document data pipelines and data lineage. Identify, document, and promote best practices.

What you’ll bring

All qualifications

Core experience

8+ years of experience in data management — data integration, modeling, optimization, data quality, or related data engineering areas.
Prior experience with Airflow.
4+ years working in cross-functional teams, collaborating with business stakeholders in Sales or Finance on departmental/multi-departmental data management and analytics initiatives involving product and business system data.
Hands-on experience with data warehouse technologies (Snowflake, Redshift) and big data technologies (Hadoop, Hive, Spark).
Solid experience working with Sales, Finance, and product usage data.
Proficiency in Python or similar programming languages.

Qualification wording

8+ years of experience in data management — data integration, modeling, optimization, data quality, or related data engineering areas.

Prior experience with Airflow.

4+ years working in cross-functional teams, collaborating with business stakeholders in Sales or Finance on departmental/multi-departmental data management and analytics initiatives involving product and business system data.

Hands-on experience with data warehouse technologies (Snowflake, Redshift) and big data technologies (Hadoop, Hive, Spark).

Solid experience working with Sales, Finance, and product usage data.

Proficiency in Python or similar programming languages.

Tools in this posting

Python
SQL
Hadoop
Hive
NoSQL
Redshift
Snowflake
Spark
Airflow

Source

- Hands-on experience with data warehouse technologies (Snowflake, Redshift) and big data technologies (Hadoop, Hive, Spark). - Proficiency in Python or similar programming languages. - Passion for data technologies broadly — SQL, NoSQL, MPP databases, etc.

- Strong problem-solving and interpersonal skills, with the ability to make sound, complex decisions in a fast-paced technical environment. - Ability to work across multiple areas: pipeline ETL, data modeling & design, and complex SQL. - Excellent written and verbal communication, able to collaborate with both technical and business partners.

- Proficiency in Python or similar programming languages. - Passion for data technologies broadly — SQL, NoSQL, MPP databases, etc. Unleash Your Potential

- Prior experience with Airflow. - Hands-on experience with data warehouse technologies (Snowflake, Redshift) and big data technologies (Hadoop, Hive, Spark). - Proficiency in Python or similar programming languages.

Preferred - Prior experience with Airflow. - Hands-on experience with data warehouse technologies (Snowflake, Redshift) and big data technologies (Hadoop, Hive, Spark).

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together.

In the employer’s words · Read in context

Job description

View original posting ↗

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Data

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Senior Data Engineer — Marketing Operations

About the Role
As a Senior Data Engineer on the Marketing Operations team, you'll work cross-functionally with business domain experts, analytics, and engineering teams to design and implement our Data Warehouse model. You'll partner with the Business Analytics Data Engineering function to build a data foundation and processes that scale with company growth — architecting, designing, and implementing data pipelines that deliver insights from Product and Corporate Systems to key partners, data scientists, and decision-makers across Sales, Customer Success, Marketing, and Finance at Slack.

This role suits problem solvers who anticipate issues before they surface and look beyond immediate fixes. We're looking for self-starters who take pride in their craft, are detail- and quality-oriented, and are passionate about making a real impact at Slack.

Responsibilities

Design, implement, and build pipelines that deliver data with measurable quality under SLA.
Assemble complex, large data sets that meet functional requirements.
Partner with data architects, domain experts, data analysts, and other teams to build trusted, well-understood foundations aligned with business strategy that enable self-service.
Champion the overall strategy for data governance, security, privacy, quality, and retention in line with business policies.
Own and document data pipelines and data lineage.
Identify, document, and promote best practices.
Support and maintain the analytics tech ecosystem (data warehouse, ETL, and BI tools).

Requirements

8+ years of experience in data management — data integration, modeling, optimization, data quality, or related data engineering areas.
4+ years working in cross-functional teams, collaborating with business stakeholders in Sales or Finance on departmental/multi-departmental data management and analytics initiatives involving product and business system data.
Solid experience working with Sales, Finance, and product usage data.
Expertise in dimensional modeling, data warehouse scaling/optimization, performance tuning, and ETL pipelines.
Deep understanding of both relational and big data systems.
Strong problem-solving and interpersonal skills, with the ability to make sound, complex decisions in a fast-paced technical environment.
Ability to work across multiple areas: pipeline ETL, data modeling & design, and complex SQL.
Excellent written and verbal communication, able to collaborate with both technical and business partners.
Strong grasp of trade-offs and the ability to navigate between big-picture strategy and implementation detail.

Preferred

Prior experience with Airflow.
Hands-on experience with data warehouse technologies (Snowflake, Redshift) and big data technologies (Hadoop, Hive, Spark).
Proficiency in Python or similar programming languages.
Passion for data technologies broadly — SQL, NoSQL, MPP databases, etc.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

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Location & working pattern

India - Hyderabad

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Status in our records: Active
First seen by us: Sep 29, 2026
Recorded sightings: 24
Last seen by us: Oct 8, 2026

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