Lead Platform Engineer, LMTS

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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 mission of the Unified Intelligence Platform is to make using data at scale easy and enabling, by marrying together cutting-edge technology with an exceptional user experience. Massive amounts of data are generated each day at Salesforce. Crafting a platform that enables internal users to understand, optimize, and re-envision how the business is and should operate is critical. Modern distributed systems (e.g. Spark and Trino), coupled with AI tech and custom data applications (e.g. low code orchestration, self service ingestion) are a few of the key ingredients this team is weaving together to make this possible.

We are defining the next generation of trusted enterprise computing in the cloud. We're a fast-paced, agile and innovative team. We're highly collaborative and work across all areas of our technology stack. We enable critical services for the business, qualify complex compute changes, enable big data analytics and trail-blaze new engineering solutions for the cloud. We are looking for a Software Engineers, with experience building and owning distributed services, who can step up and own big chunks of this vision on these projects. 

Job Responsibilities:

• Architect, Design, Build and take ownership of business critical data and platform services.

• Build and architect solutions to simplify data privacy, compliance, ingestion, processing, quality and discovery with security and data governance baked into the solution from the ground up.

• Lead the team by example in using engineering best practices, deliver high quality features, help refine operational procedures and workflows, and influence architectural decisions. 

• Demonstrate effective service ownership by monitoring their own service and taking proactive actions when incidents happen.

• Build data frameworks that will simplify common data tasks, ease integrations, enforce best practices, introduce consistency and make migrating to different tools easy.

• Build Salesforce apps and integration mechanisms with the data ecosystem to help monitor and manage end to end data lifecycle from a single place.

• Participate in the team’s on-call rotation to address complex problems in real-time and keep services operational and highly available.

• Lead the team with active participation in all parts of the Agile process, including planning, execution, and retrospectives.

• Be the leading technical representative for the team when dealing with plans and problems that involve cross teams.

• Deploy, manage and maintain various tools within the UIP tech stack like Airflow, Spark, Trino, DBT, Iceberg Rest Catalog, etc.

• Work on building and orchestrating data pipelines and platform services for multi-cloud (AWS, GCP, Ali, etc) hybrid data lake.

Job Requirements:

• 12+ years of experience with large scale data delivery platforms, designing solutions with modern data systems to support exponential data growth. 

• 5+ years of experience in product/application development using Java/Scala.

• Solid understanding of CS fundamentals, System Design and experience building large scale data intense applications/solutions.

• Experience managing and driving large scale projects/products that involve managing multiple stakeholders

• Great coding and design competencies in OOPs languages preferably with Java or Python (Knowledge of design patterns and best practices). 

• Strong understanding and experience in distributed computing frameworks, particularly Apache Spark & Trino

• Knowledge of data modelling techniques and high-volume ETL/ELT design. 

• Strong SQL optimisation and performance tuning experience in a high volume data environment that utilizes compute frameworks like Spark & Trino.

• Proven hands on experience with big data technologies like Hadoop, Kafka, Spark, Trino, Splunk, Airflow and others.

• Experience working with Public Cloud platforms like AWS, GCP, Ali cloud.

• Experience designing, building, deploying systems with Containers (Docker) and Kubernetes.

• Hands-on experience with Linux, networking, server, and cloud architectures.

• Experience with deployment tools like Terraform, Spinnaker, etc

• Solid understanding of how to configure, deploy, manage and maintain large cloud-hosted systems; including auto-scaling, monitoring, performance tuning, troubleshooting and disaster recovery.

• Proficiency with source control (Git), continuous integration, and testing pipelines.

• Being a great listener, collaborator, communicator, and mentor.

• Championing a culture and work environment that promotes diversity and inclusion.

• Hands-on on Salesforce.com knowledge of product and functionality a plus.

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