Job Description
About the Role
We are seeking a highly skilled Data Engineer / Data Architect to join our team on a contract basis. This role will focus on building and optimizing custom HubSpot integrations while owning the end-to-end data flow process across our systems. The ideal candidate is both a strategic advisor and a hands-on implementer, with deep experience in designing data architectures that leverage modern cloud platforms (AWS or Azure).
Responsibilities
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Lead the design and implementation of scalable data pipelines (ETL/ELT) across multiple platforms, with a strong emphasis on HubSpot integrations.
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Act as a strategic partner, advising the team on optimal data architectures, software capabilities, and best practices for structuring and managing data.
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Develop and maintain ETL/ELT workflows to ensure accuracy, scalability, and reliability of data flow.
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Collaborate with internal stakeholders to gather integration requirements and design technical solutions aligned with business needs.
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Proactively identify opportunities to improve data processes, governance, and performance.
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Troubleshoot and resolve integration and pipeline issues.
Qualifications
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Proven track record in data architecture and engineering, ideally with HubSpot API/custom integration experience.
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Strong understanding of ETL/ELT pipelines and data warehousing best practices.
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Hands-on experience with AWS, Azure, Snowflake, etc.
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Proficiency in SQL and comfort with scripting languages (e.g., Python).
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Solid grasp of relational data modeling, APIs, and integration design.
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Excellent communication skills with the ability to advise on strategic technical decisions.
Engagement Details
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Contract / freelance role (project-based, flexible hours).
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Remote-friendly.
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Duration and scope to be determined based on project needs.
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Required: U.S. Eastern time zone availability