Senior Data Engineer

Thrive Market’s Data Engineering team is seeking a Senior Data Engineer!

We are looking for a brilliant, dedicated, and hardworking engineer to help us build high-impact products alongside our Data Strategy Team. Our site sees millions of unique visitors every month, and our customer growth currently makes us one of the fastest-growing e-commerce companies in Los Angeles. We are looking for a Senior Data Engineer with hands-on experience working on structured/semi-structured/Complex data processing and streaming frameworks. We need your amazing software engineering skills to help us execute our Data Engineering & Analytics initiatives and turn them into products that will provide great value to our members. In this role, we are hoping to bring someone in who is equally excited about our mission, learning the tech behind the company, and has the ability to work cross-functionally with other engineering teams.

Work across multiple projects and efforts to orchestrate and deliver cohesive data engineering solutions in partnership with various functional teams at Thrive Market

Be hands-on and take ownership of the complete cycle of data services, from data ingestion, data processing, and ETL to data delivery for reporting

Collaborate with other technical teams to deliver data solutions that meet business and technical requirements; define technical requirements and implementation details for the underlying data lake, data warehouse, and data marts

Identify, troubleshoot, and resolve production data integrity and performance issues

Collaborate with all areas of data management as lead to ensure patterns, decisions, and tooling are implemented in accordance with enterprise standards

Perform data source gap analysis and create data source/target catalogs and mappings

Develop a thorough knowledge and understanding of cross-system integration, interactions, and relationships in order to develop an enterprise view of Thrive Market’s future data needs

Design, coordinate, and execute pilots/prototypes/POC to provide validation on specific scenarios and provide an implementation roadmap

Recommend/Ensure technical functionality (e.g. scalability, security, performance, data recovery, reliability, etc.) for Data Engineering

Facilitate workshops to define requirements and develop data solution designs

Apply enterprise and solution architecture decisions to data architecture frameworks and data models

Maintain a repository of all data architecture artifacts and procedures

Collaborate with IT teams, software providers, and business owners to predict and devise data architecture that addresses business needs for collection, aggregation, and interaction with multiple data streams

Excellent communication and presentation skills (verbal, written, presentation) across all levels of the organization. Ability to translate ambiguous concepts into tangible ideas.

Hands on experience programming in Python, DBT and Airflow

Expertise with RDBMS and Data Warehousing (Strong SQL) with Snowflake or similar

In-depth knowledge and experience with data and information architecture patterns and implementation approaches for Operational Data Stores, Data Warehouses, Data Marts and Data Lakes

Experience administering and managing data infrastructure using Terraform.

Proficiency in logical/physical data architecture, design and development

Experience in Data lake / Big data analytics platform implementation either cloud based or on-premise; AWS preferred

Experience working with high volumes of data; experience in design, implementation and support of highly distributed data applications

Experience evaluating and working with tools and vendors that support marketing measurement frameworks, including MMM and MTA, is a plus.

Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration E.g. GitHub, Jenkins

Experience using Claude or similar AI agents for development is a plus.

Experience with writing Kafka producers and consumers or experience with AWS Kinesis

A knack for independence (hands-on) as well as team work

Excellent analytical and problem-solving skills, often in light of ill-defined issues or conflicting information.

Experience with streaming data ingestion, machine-learning, Apache Spark a plus

Adept in the ability to elicit, gather, and manage requirements in an Agile delivery environment

Compensation Description - The base salary range for this position is $165,000 - $190,000/Per Year.

Compensation may vary outside of this range depending on several factors, including a candidate’s qualifications, skills, competencies and experience, and geographic location.

Total Compensation includes Base Salary, Stock Options, Health & Wellness Benefits, Flexible PTO, and more!

This position requires traveling to our HQ office in Los Angeles, California, twice a year for all-company summits; once in the summer and once in the winter.

Comprehensive health benefits (medical, dental, vision, life and disability)

Competitive salary (DOE) + equity

401k plan

9 Observed Holidays

Flexible Paid Time Off

Subsidized ClassPass Membership with access to fitness classes and wellness and beauty experiences

Ability to work in our beautiful office in Playa Vista

Free Thrive Market membership with exclusive employee discount

Coverage for Life Coaching & Therapy Sessions on our holistic mental health and well-being platform

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