BI Data Engineer

Salesforce•San Francisco, CA

About The Position

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. The AI Cloud CTS team is currently seeking a Data Engineer with a Tableau Developer with finops and infra capacity planning skills. If you’re fired up about software performance, automating everything, and working with great engineers, this is the job for you! If you are a developer who is passionate about capacity planning, budgeting and also interested in contributing to performance improvements, we would love to hear from you. Salesforce, the Customer Success Platform and the world's #1 CRM empowers companies to connect with their customers in a whole new way. We are the fastest growing of the top 10 enterprise software companies, the World's Most Innovative Company according to Forbes, and one of Fortune's 100 Best Companies to Work For fourteen years in a row. The growth, innovation, and Aloha spirit of Salesforce are driven by our incredible employees who thrive on delivering success for our customers while also finding time to give back through our 1/1/1 model, which leverages 1% of our time, equity, and product to improve communities around the world. Salesforce is a team sport, and we play to win. Join us! Come and be a part of our AI Platform Cost to Serve Engineering team, where you can specialize in Salesforce's AI Platform! As part of the Salesforce Gen-AI initiative, you will help our customers make the most of AgentForce with state-of-the-art AI technology using Large Language, Toxicity, and PII models while collaborating closely with the team and cloud to implement performance and scale initiatives to support our ambitious plans for massive growth this year. Our team is known for being highly technical, friendly, and exceptionally collaborative. Join us for an exciting and rewarding experience! Our primary focus involves develop automation frameworks in telemetry and visualization dashboards for the service usage & cost, infra capacity planning, infra budget planning and the cost optimization. You will have the opportunity to design performance experiments, and collect and analyze data. Develop power tools and automation frameworks for continuous integration, performance measurement and analysis. Contribute to the design and velocity of our global products.

Requirements

Bachelor’s degree in Computer Science, Engineering, or equivalent experience
3–5+ years of experience in business intelligence, data visualization, or data engineering roles
4+ years of experience building programmatic ETL data pipelines using SQL-based technologies and platforms such as Spark, Hadoop, or Tableau Prep Builder
Strong proficiency in at least one programming language (e.g., Python, Java) for data extraction, transformation, and analysis
Experience automating data pipelines with scheduling tools (e.g., Apache Airflow)
Expertise in creating impactful data visualizations using Tableau, with the ability to present complex data in a clear, accessible manner
Strong proficiency in Tableau Desktop and Tableau Server (publishing, scheduling, permissions, automation)
Expertise in advanced Tableau capabilities: LOD expressions, table calculations, parameters, sets, and groups
Ability to work with multiple data sources (SQL, spreadsheets, APIs, cloud platforms) and build blended datasets
Strong analytical skills to identify trends,issues from larger datasets and derive actionable insights and reports
Solid SQL skills for data retrieval, analysis, and validation from Relational and NOSQL databases
Excellent communication skills, with the ability to collaborate effectively across technical and business teams
Commitment to data accuracy and governance standards
Experience in capacity planning for dynamic, large-scale growth of services, LLM models in public cloud environments (AWS, GCP)
Experience budget planning and tracking for complex, large-scale platform services in collaboration with multiple teams
Experience working with public cloud platforms such as AWS, GCP, or Azure
Experince in capacity planning, financial or operational forecasting in large scale cloud infrastructures.
Advanced analytical and financial modeling skills in infra capacity and budget planning.

Nice To Haves

Familiar with Tableau Prep Builder, AirFlow, Spark,Hadoop,Presto, Superset tools
Experience in real-time analytics using tools such as Tableau and CRMA
Knowledge of Hadoop ecosystem and related frameworks
Knowledge in automated deployment and configuration updates using Docker, Spinnaker, Jenkins, Kubernetes
Knowledge in Performance Engineering

Responsibilities

Develop data pipelines to capture granular usage and cost of infra services and applications. and ensure data accuracy, integrity, and governance while working with different data sources.
Proactively identify performance & data quality problems and drive the team to remediate them.
Advocate architectural and code improvements to the team to improve execution speed and reliability
Partner closely with product managers, business stakeholders, and engineering teams to understand requirements, translate business problems into technical solutions, and drive data strategy.
Work closely with engineering, various business teams, and stakeholders to understand requirements and translate them into actionable dashboards.
Work with multiple data sources (SQL databases, spreadsheets, cloud platforms, APIs) to create blended datasets and establish relationships.
Analyze current IT infrastructure usage (compute, storage, network, cloud resources) and forecast future demand.
Partner with finance, product, service and procurement teams to forecast infrastructure, licensing costs and prepare budget estimates and track the actuals cost vs the budget
Develop models to track resource utilization, Cost trends and forecast monthly, Quarterly, Yearly capacity & cost to support business strategy and growth
Evaluate cost implications of capacity requirements and optimize resource usage to minize the cost and improve cost to serve