Staff Data Engineer - Thrasio

Job Title: Staff Data Engineer
Job Location: India
Job Listing URL: https://jobs.lever.co/thrasio/5bf8682c-217e-420e-86d3-23f55bef7ea5
Job Description: We are Thrasio - Builders Welcome!

At Thrasio, we build brands, using a deep understanding of rankings, ratings, and reviews – plus supply chain and marketing smarts – to transform the art and science of commerce. Thrasio products can be found in over 80 million households, with an estimated 1 in 2 US homes having purchased a Thrasio product over the last three years. And our goal is for all of those households to be truly delighted by their purchase.

What Makes Us Unique

At Thrasio, we’re in building mode: block by block we’re working together to construct a great company. What does that look like? Everyone is a leader - we lean into opportunities, not titles. We expect everyone to behave and act like a leader. Our Leadership Principles inform the ways we work together to ensure the brands, products and services we offer truly delight our customers. Everyone is a builder - whether it’s gaining marketable new skills through project sprints outside of your own function, or standing up more efficient ways of work - we’re doing it from the ground up. Everyone belongs- a sense of belonging brings us all together. We operate as One Team.

The Role:

Are you excited about tackling complex data ingestion challenges? How about designing and building scalable data warehousing solutions to support our company’s growth as we integrate data from hundreds of sources? At Thrasio, the Data Warehouse team is responsible for designing, developing, and maintaining our rapidly expanding data warehouse. We are looking for a Staff Data Engineer to mentor a team that creates, manages, and secures tools to help teams effectively use the data warehouse. In this role, you will also develop and implement an enterprise-grade disaster recovery (DR) plan and ensure robust observability measures as we continue to grow rapidly.
Key Responsibilities:
Design, implement, and test an enterprise-grade DR plan for the data warehouse.
Develop and maintain data warehousing models and support ETL/ELT processes using Python, SQL, and DBT within a Snowflake and AWS cloud environment.
Administer and manage the Snowflake data warehouse within the AWS environment, overseeing configuration, security, performance optimization, and resource allocation to ensure efficient, scalable, and cost-effective data operations.
Partner with business stakeholders, Analytics, and Data Science teams to support their data infrastructure needs and troubleshoot technical issues.
Collaborate with Analytics Engineers and Data Scientists to build scalable data models.
Create and maintain batch and real-time data pipelines using Snowflake, DBT, and other cloud-based tools.
Develop tools and solutions to streamline CI/CD workflows.
Work cross-functionally with engineering teams, business stakeholders, and project managers to deliver high-quality projects on time.
What You Bring:
5+ years of experience in technology leadership, specifically managing data warehouse teams.
10+ years of experience in software development, data engineering, or related fields, working with large datasets.
Strong expertise in data modeling, ETL development, and data warehousing with proficiency in writing complex SQL and developing in Python.
Experience with data modeling and orchestration tools such as Airflow, DBT, etc.
Familiarity with software configuration management tools (e.g., Git) and CI/CD tools (e.g., Jenkins, Nexus).
Deep understanding of best practices across the software development lifecycle (SDLC) and a collaborative approach to producing high-quality products.
A commitment to efficient designs and delivering accurate results.
Ability to assess design tradeoffs and collaborate with team members to find optimal solutions.
Experience working with both technical and non-technical teams to gather requirements and translate them into actionable data engineering tasks.
A team player with integrity, who values diverse perspectives and respects others’ ideas.