Sr. Data Engineer, Admin & Trust - Slack

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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.

About the team
Slack is looking for Data Engineers to join our Admin and Trust team! We build data products that empower our large enterprise customers with metrics critical to their workflows.

In this role, you will partner cross-functionally with business stakeholders, analytics teams, and engineers to design and implement our data models. You'll design, build, and scale data pipelines that transform billions of records into actionable insights for our largest customers. You'll also work closely with backend engineers to build state-of-the-art tooling for Slack Admins.

You will contribute to initiatives that directly support key decision-makers within our enterprise customer base by scaling data models that provide essential adoption and engagement metrics.

We're looking for passionate individuals with strong technical skills who are comfortable contributing to a growing data ecosystem and can help build a solid data foundation for the company. We're also looking for self-starters-detail-oriented, quality-driven, and hardworking-who are excited about making a meaningful impact at Slack!

• Translate business requirements into scalable and reusable data models that are easy to understand and used by different subject areas

• Design, implement and build data models and pipelines that deliver data with measurable quality under the SLA

• Partner with product teams, data analysts and engineering teams to build foundational data sets that are trusted, well understood, and aligned with business strategy

• Be a champion of the overall strategy for data across multiple teams and different use cases

• Increase access to foundational company metrics through process and technical foundations

• Identify, document and promote data engineering standard methodologies throughout Slack

• 5+ years of experience working in data architecture, data modeling, master data management, metadata management

• Recent accomplishments working with relational methods and approaches (logging, columnar, star and snowflake, dimensional modeling)

• A consistent track record in scaling and optimizing schemas, performance tuning SQL and ETL pipelines in OLAP and Data Warehouse environments

• Airflow or any workflow management platform for data engineering pipelines orchestration.

• Proficiency in coding through the use of with Python and SQL

• Familiar with data governance frameworks, SDLC, and Agile methodology

• Excellent written and verbal communication and interpersonal skills, and ability to efficiently collaborate with technical and business partners

• Bachelor's degree in Computer Science, Engineering or a related field, equivalent training, fellowship, or work experience

• Hands-on experience with Spark SQL, AWS (S3, EMR), Apache Pinot, Big Data & Hadoop.

• Proficient in coding through the use of Scala

• Experience working with cloud technologies such as AWS, GCP or Azure.

• Understanding of NoSQL Data Stores

• Experience around Batch & Real-time processing

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.

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