Hybrid Senior Data Infrastructure Engineer

at Pattern Bioscience

• Job title: Senior Data Infrastructure Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Apache, Distributed Systems, Java, Kafka, Kubernetes, Postgres, Python, Ruby, Scala, Spark, Terraform, Go
• Location requirements: Hybrid, Pune, India

About the role

• Senior Data Infrastructure Engineer responsible for modernizing the data platform while optimizing for cost-efficiency and ensuring scalability. Joining a team focused on user-friendly solutions and data accessibility.

Responsibilities

• In the first 30 days: you will gain a complete working knowledge of the data platform architecture and the current modernization roadmap, complete onboarding and begin shipping code to address ticket load and technical debt.
• At 90 days: you will have delivered significant improvements to the data infrastructure, making it more accessible and efficient for the organization. You'll have taken ownership of major projects and driven them toward successful completion. Additionally, you'll play a key role in mentoring team members and setting the groundwork for long-term scalability and innovation in the data infrastructure.

Requirements

• End-to-End Problem Solving in Ambiguity: Ability to take vague or high-level requirements and drive them to a concrete, production-ready solution. You must have a track record of navigating complex technical roadblocks independently and architecting systems that solve the 'whole' problem, not just the immediate ticket.
• Software Engineering: Strong proficiency in building performant, concurrent data services and platform tooling. Go is preferred, but deep expertise in Java, Python, Ruby or Scala is accepted.
• Modern Open-Source Architecture: Deep hands-on experience designing and operating modern data stacks. You should be comfortable with solutions involving Apache Iceberg, Glue catalog and S3 for storage; Trino, Spark and Clickhouse for compute; and Kafka for streaming, specifically within a Kubernetes environment.
• SRE Mindset & Infrastructure as Code: Apply DevOps and Site Reliability Engineering principles to data infrastructure. You must be proficient in defining infrastructure using Terraform or CloudFormation, creating self-healing systems, and setting up observability solutions to ensure platform reliability and scalability.
• Database & Storage Optimization: Proven ability to manage and tune relational stores (Postgres/RDS) alongside distributed systems, ensuring data consistency, efficient indexing, and optimal query performance across the platform.
• Opinionated Collaboration & Communication: A strong technical voice who thrives in design reviews. You must be able to articulate complex architectural trade-offs, defend your design choices with data, and professionally challenge the status quo when you see a better way to solve a business problem.

Benefits

• Pattern provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability, status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.