Senior Data Engineer

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

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.

As a Senior Data Engineer within the Marketing Operations team, you will be working cross-functionally with business domain experts, analytics, and engineering teams to design and implement our Data Warehouse model. Collaborate with our Business Analytics Data Engineering function and have an opportunity to build a sound data foundation and processes that will scale with the company's growth. You will architect, design, implement data pipelines enabling insights from our Product and Corporate Systems for key partners, data scientists and decision makers in organizations such as Sales, Customer Success, Marketing and Finance at Slack.

This is a fun role for problem solvers, who can intuitively anticipate problems and can also look beyond immediate issues. In short, we look for people who take pride in the craft and want to be part of creating and defining the teams operating model and contribution to the company. They will be a self-starter, detail and quality oriented, and passionate about having a huge impact at Slack. If this role has your name written all over it, please contact us with a resume so that we explore further.

Responsibilities

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

Requirements

At least 5+ years or more of work experience in data management including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks.
At least 4 years of experience working in cross-functional teams and collaborating with business stakeholders in Sales or Finance in support of a departmental and/or multi-departmental data management and analytics initiative that involve working with data generated by product and business systems.
Solid experience in working with Sales, Finance and product usage data.
Expertise in dimensional modeling, supporting data warehouse, scaling and optimizing, performance tuning and ETL pipelines
Deep understanding of relational as well as big data setup
Problem solver with excellent interpersonal skills with ability to make sound complex decisions in a fast-paced, technical environment.
Ability to work on multiple areas like Data pipeline ETL, Data modeling & design, writing complex SQL queries etc. . 

Preferred:

Prior experience with AirFlow.
Hands-on experience with Data Warehouse technologies (Snowflake, Redshift) and Big Data technologies (e.g Hadoop, Hive, Spark)
Proficiency with programming languages is a big plus (e.g. Python)
Passionate about various data technologies including but not limited to SQL/No SQL/MPP databases etc.
Excellent written and verbal communication and interpersonal skills, able to optimally collaborate with technical and business partners
Excellent understanding of trade-offs
Demonstrated ability to navigate between big-picture and implementation details

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 require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.

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.