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 minimize the cost and improve cost to serve.

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
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
Experience in capacity planning, financial or operational forecasting in large scale cloud infrastructures.
Advanced analytical and financial modeling skills in infra capacity and budget planning.

Benefits

time off programs
medical
dental
vision
mental health support
paid parental leave
life and disability insurance
401(k)
employee stock purchasing program

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

ETLSQLPythonJavaTableauApache AirflowHadoopSparkdata visualizationdata analysis

Soft Skills

analytical skillscommunicationcollaborationproblem-solvingorganizational skillsleadershipdata governancedata strategyforecastingbudget planning