Sr. Manager, Product & Customer Data Science Engineering - C360 Apps

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Job Category

Software Engineering

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.

We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you've come to the right place.

Salesforce is embarking on our own Digital Transformation to deliver customer success for our customers and accelerate our growth. A key pillar of this transformation is building a strong data foundation to support all of our core marketing needs through intelligent data sets as a service.

We're looking for an experienced and committed Engineering Manager to work with our talented Data and Visualization Engineers to build data pipelines, metrics, and dashboards for our Technology & Product partners. In this role, you will partner with Data & Analytics Decision Scientists and Product Managers to work with business partners across Technology & Product functions to understand business needs, translate them to technical requirements, wrangle data from various systems, and design automated data pipelines, and build data products and visualizations to drive insights. You will work with internal technology groups to automate the data collection and definition process.

The right candidate will have strong data architecture, ETL, SQL, and experience with Visualization tools and architectures, such as Tableau and Scuba, and a proven track record working with and curating enterprise metrics. The candidate will also have strong operational skills to drive efficiency and speed, expertise building repeatable engineering processes, strong project management skills, and a vision for how to deliver data products.

Responsibilities

• Lead and manage a team of data and visualization engineers to deliver data products for company Executives
• Actively develop, enhance and maintain data pipelines and workflows for marketing data and metrics.
• Work with teams across the organization and build data metric requirements, build quick POC's, document functional and technical requirements.
• Develop ETL pipelines from Oracle system to Snowflake.
• Develop the frameworks in Snowflake to automate the ETL process.
• Develop DBT ETL pipelines for data ingestion and transformation.
• Maintaining , deploying and code versioning the ETL process.
• Using GIT CI / CD for Devops.
• Work with the business stakeholders, analyze the metrics and build data insights.
• Help in building POC solutions for new marketing metrics that drive effective decision making.
• Design & develop easy, repeatable and reusable automation data frameworks.
• Responsible for end-to-end data management activities, including but not limited to identify fields, data lineage and integration, performing data quality checks, analysis and presenting and visualizing data.
• Manage business intelligence and data warehouse plans
• Review and validate logical and physical design to ensure alignment with the defined solution architecture. Review solution design and ensure that the defined standards and framework are followed.
• Evaluate, determine root cause and resolve critical issues.
• Work with internal team members and external partners to support data collection and analysis and understand reporting needs
• Collaborate with Data Science teams and support them with all the data they would need to produce their models.
• Work and collaborate with global teams across North America, EMEA and APAC.
• Manage technical consultant(s) and contractors as applicable to meet the goals of the organization

Required Skills / Experience

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

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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.

Skills Required

Pyspark, Airflow, Tableau, Bash, Sql, Git, dbt, snowflake , Data Architecture, Python, Aws, Etl