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Staff Data Engineer

India, Bengaluru · Job Posted April 20, 2026
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Job Description

As a member of the Data & BI Engineering team you will primarily focus on advancing our Enterprise Data Platform to allow the organization to make data-driven decisions. The successful candidate will work closely with cross-functional teams to identify business requirements, design, and develop data models, data warehouses, and data visualization solutions that help support the organization's strategic goals. The Staff Data Engineer will work in a dynamic environment and will be required to stay current with the latest trends and technologies in the business intelligence field. The ideal candidate will be able to pick up business domain and internal process knowledge and leverage that knowledge to think strategically, communicate effectively, and manage multiple projects simultaneously. The team is also responsible for administering tools and platforms around reporting, analytics, and data visualization while promoting best practices. The role requires a strong combination of technical expertise, leadership skills, and a deep understanding of data engineering principles and best practices.

Job Responsibility

  • Provide technical expertise and leadership in technology direction, road-mapping, architecture definition, design, development, and delivery of enterprise-class solutions
  • Architect, design, develop, test, troubleshoot, debug, optimize, scale, perform the capacity planning, deploy, maintain, and improve software applications
  • Work collaboratively across the company to design, communicate and further assist with adoption of best practices in architecture and implementation
  • Deliver robust architectural solutions for complex design problems
  • Implement, refine, and enforce data engineering best practices
  • Research, test, benchmark, and evaluate new tools and technologies, and recommend ways to implement them in data platform
  • Actively participate in research, development, support, management, and other company initiatives
  • Inspire a forward-thinking team of developers, acting as an agent of change and evangelist for a quality-first culture
  • Mentor and coach key technical staff
  • Act as a conduit for questions and information flow
  • Speak in terms relevant to audience, translating technical concepts
  • Maintain a strong sense of business value and return on investment
  • Proactively identify issues, bottlenecks, gaps, or other areas of concern
  • Perform critical maintenance, deployment, and release support activities, including occasional off-hours support

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field
  • 10+ years as a data engineer
  • 10+ years of experience using RDBMS, SQL, NoSQL, Python, Java, or other programming languages
  • 10+ years of experience designing, developing, testing, and implementing Extract, Transform and Load (ELT/ETL) solutions using enterprise ELT/ETL tools and Open source
  • 5+ years working experience with SQL and familiarity with Snowflake data warehouse, strong working knowledge in stored procedures, CTEs, and UDFs, RBAC
  • Knowledge of data integration and data quality best practices
  • Familiarity with data security and privacy regulations
  • Experience in working in a startup-type environment, good team player, and can work independently with minimal supervision
  • Experience with cloud-native architecture and data solutions
  • Strong working knowledge in data modeling, data partitioning, and query optimization
  • Demonstrated knowledge of development processes and agile methodologies
  • Strong analytical and interpersonal skills, comfortable presenting complex ideas in simple terms
  • Proficient in managing large volumes of data
  • Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
  • Experience in providing technical support and troubleshooting for data-related issues
  • Expertise with at least one cloud environment and building cloud native data services
  • Prior experience driving data governance, quality, security initiatives

Nice to have

  • Experience with Google Cloud or similar cloud provider
  • Significant experience with open source platforms and technologies
  • Experience with data science and machine learning tools and technologies is a plus

What we offer

  • A technology-based company with a sense of adventure and a vision for the future
  • A culture that is kind, open, and accepting
  • A culture where continued growth and learning is empowered
  • BlackLine offers a wide variety of professional development seminars and inclusive affinity groups

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