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Pattern

Senior Data Infrastructure Engineer

Posted 13 Hours Ago
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Hybrid
Pune, Maharashtra, IND
Senior level
Hybrid
Pune, Maharashtra, IND
Senior level
The Senior Data Infrastructure Engineer drives complex data solutions, ensuring scalable and efficient data platforms using modern architectures and SRE principles, while mentoring team members.
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Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your skills to push one of the fastest-growing companies in the US to the top of the list.

Pattern is a leading eCommerce data and growth company located in the Silicon Slopes tech hub and with global offices in Europe, China, India, Australia, the Middle East and Canada. Named one of the fastest growing companies in the US by Inc. 500; Pattern has made its mark in the industry. Some of the biggest consumer brands like Skullcandy, Nestle, Clorox, Kong, Panasonic, and Tumi trust Pattern with their business. Pattern has recruited talent from brands like Amazon, eBay, Adobe, Pepsico, Apple, Google, and Oracle.

What Would You Need?

    • 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.
    • About Team: Our team is spearheading the modernization of the company-wide data platform. We are building solutions that are flexible, user-friendly, and secure, while simultaneously optimizing for cost-efficiency. 

What would you do?

    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.

What We're About?

    We are looking for individuals who are:
  • Game Changers- A game changer is someone who looks at problems with an open mind and shares new ideas with team members, regularly reassesses existing plans and attaches a realistic timeline to goals, makes profitable, productive, and innovative contributions, and actively pursues improvements to Pattern’s processes and outcomes.
  • Data Fanatics- A data fanatic is someone who recognizes problems and seeks to understand them through data, draws unbiased conclusions based on data that lead to actionable solutions, and continues to track the effects of the solutions using data.
  • Partner Obsessed- An individual who is partner obsessed clearly explains the status of projects to partners and relies on constructive feedback, actively listens to partner’s expectations, and delivers results that exceed them, prioritizes the needs of your partners, and takes the time to create a personable experience for those interacting with Pattern.
  • Team of Doers- Someone who is a part of a team of doers uplifts team members and recognizes their specific contributions, takes initiative to help in any circumstance, actively contributes to supporting improvements, and holds themselves accountable to the team as well as to partners.

    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.

Top Skills

Apache Iceberg
Clickhouse
CloudFormation
Glue
Go
Java
Kafka
Kubernetes
Postgres
Python
Rds
Ruby
S3
Scala
Spark
Terraform
Trino

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