What you'll do
- Data Architecture & Infrastructure: Design, build, and optimize the company’s data architecture, pipelines, and warehouse to ensure scalability, reliability, and performance.
- Cross-Functional Partnership: Collaborate with product engineers, AI/ML engineers, analytics, and RevOps to integrate data solutions that support both product features and business intelligence.
- ETL/ELT Development: Develop and maintain pipelines that move and transform data from multiple internal and external sources.
- Facilitate Analytics & AI: Ensure high-quality, well-structured data is available for AI/ML applications, product analytics, and companywide reporting.
- Governance & Best Practices: Establish best practices for data quality, monitoring, documentation, and security.
- Enablement & Documentation: Document data standards and reusable modeling patterns to empower engineers, other teams, and future teammates.
- Technical Ownership: Take projects from planning through execution, with ownership over architecture and implementation decisions.
What you'll bring
- At least 5+ years of experience in data engineering, with proven experience designing and scaling modern data architectures and pipelines.
- Strong programming skills in Python.
- Expertise with data warehouse technologies (e.g., BigQuery, Databricks, Snowflake, Redshift, or similar).
- Fluency in SQL
- Experience with ETL/ELT pipeline tools (e.g., dbt, Airflow, Fivetran, Dagster).
- Experience working with APIs and integrating diverse data sources.
- Strong understanding of data modeling and performance optimization.
- Experience with streaming solutions such as Spark Streaming, Kafka, or Flink is desirable but not required.
- Professional experience with at least one cloud platform such as Google Cloud, AWS, or Azure (Google Cloud preferred).
- Ability to partner effectively across engineering, AI/ML, analytics, and company stakeholders.
- Knowledge of RAG and other design patterns for AI applications
- Ability to define, explain, and sell long-term vision for technical architecture, technical approaches / procedures, etc.
- Comfortable taking ownership and setting the direction for data engineering at a growing company.
- Ability to work with urgency, a strong sense of curiosity, and demonstrated ability to learn new technologies.
Top Skills
What We Do
Catalant, the pioneer of Consulting 2.0, has helped the biggest and best companies use independent consultants for their most important work for over 10 years. More than 30% of the Fortune 500, top PE firms, and leading consultancies partner with Catalant to gain access to highly skilled, experienced business professionals who’ve solved their exact problems before. Over 100k talented independent consultants count themselves as Catalant Experts.
We reinvented the traditional consulting model with our modern, digitally-enabled approach to solving complex business problems, giving leaders (even those outside of the C-suite) direct access through a technology platform to the expertise of senior operators, SMEs, and former consultants. With backing from some of the world's top venture capital firms, we continue to bolster our industry-leading platform by growing the team that will take Catalant to the next level.
Why Work With Us
With more companies shifting to having a flexible and agile workforce, the freelance economy is taking off, making Catalant more relevant than ever. As companies are leveraging our marketplace more, the work our employees do is incredibly impactful. We take our work seriously but have a lot of fun and laughter along the way.
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Catalant Technologies Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We have a flexible hybrid work model, where employees local to our Boston HQ come into our office on a flexible basis (typically once a week), and other employees are fully remote. Talk to our People team to learn more!











