Software Engineering SMTS (Big Data)

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About 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.

The Data and Analytics Organization (DnA) is Salesforce's cornerstone for fostering growth and margins through unparalleled data insights. From robust governance to strategic execution, we support data pioneers with an unbiased approach. Our Enterprise Data Strategy builds a solid data foundation, fostering a culture of data-driven decisions. We ensure end-to-end quality through a cohesive data supply chain. By deploying and integration platform tools, we enable seamless data access and automated data management driving efficiency and growth with actionable insights. As a steadfast partner, we shape a data ecosystem that fuels innovation. Our commitment to integrity and accessibility propels informed decision-making, propelling Salesforce to new heights of excellence.Interesting Articles about some of our work and our culture:

• https://www.salesforce.com/blog/what-does-salesforce-do/

• https://www.salesforce.com/company/equality/

• https://www.salesforce.com/resources/data

Team Overview: Data Strategy and Management Engineering team brings Data to life, partnering with data producers and platform engineers to empower data consumers (data scientists, data analysts and visualization engineers) who consume data for business analytics and AI augmented solutions. We do this by delivering trusted data, in an agile way and make it accessible for a variety of use cases. We pride ourselves in being data curious (one who has an intrinsic need to understand a data point). We architect, automate, and scale our data curation frameworks, services, and processes to rapidly integrate disconnected and disparate raw data into a business-relevant asset and work towards one common theme - Customer Success.

Role Description:

• Take ownership of designing, developing, and building complex data pipelines, frameworks, and solutions that align with business objectives. Ensure data quality, integrity, security, and scalability.

• Provide strong technical leadership within the data engineering team, guiding and mentoring junior data engineers, and leading by example.

• Champion engineering best practices, automate processes, and contribute to tools that streamline operations and enhance overall reliability.

• Drive data integration strategies and frameworks, contributing to the connection of diverse data sources for data-driven decision-making.

• Contribute to data modeling efforts, optimizing data structures for analytical and operational purposes.

• Contribute to maintaining documentation of data engineering standards, best practices, and processes.

• Actively seek opportunities for innovation in data engineering processes and solutions, with a focus on scalability.

• Expertise in big data technologies like Hadoop, Spark, Presto, Hive, Snowflake etc...

• Strong coding skills in Python/Java/Scala or equivalent

• Strong proficiency in data modeling and algorithms.

• Understanding of scalability and reliability concerns for data-intensive applications

• Have that unique viewpoint to solve problems that make others run and cower.

• Exceptional communication skills, and articulate technical concepts into easy-to-understand language for business partners.

• Effectively brainstorm, encourage ideation process

• Preferred: Experience with cloud-based data platforms (e.g., AWS,GCP).

Minimum Requirements:

• Bachelor’s or Master's degree in Computer Science, Information Technology, or related field.

• 6+ years of experience in data engineering and related roles.

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