Data Delivery & Integration Engineer

About FINTRX

FINTRX is the preeminent resource for private wealth data and research. Its platform features millions of data points on the Registered Investment Advisor and global Family Office ecosystem. Today, FINTRX serves thousands of customers globally, which include top asset managers, private equity and venture capital firms, real estate firms, institutional investors, investment banks, consultants and service providers.

About the role

We're seeking a Data Delivery & Integration Engineer to own and manage the end-to-end lifecycle of FINTRX's external data delivery, including Snowflake data shares, SFTP feeds, and S3-based distribution. In this role you will serve as the primary technical point of contact for all data delivery integrations, combining hands-on platform management with client-facing expertise. Working closely with our engineering, product, and client success teams, you will ensure a seamless, reliable data delivery experience for our growing global client base.

Responsibilities

• Own and manage all aspects of the Snowflake data share environment, including configuration, replication, access controls, and performance optimization
• Manage data feeds pipelines (SFTP, S3 bucket, and other delivery mechanisms) end to end, ensuring timely and accurate delivery
• Create and maintain custom tables, views, and transformations within Snowflake to meet client-specific requirements
• Develop a deep understanding of data lineage—how delivered data ties back to source documents and upstream systems
• Lead live Snowflake walkthroughs and data feed demonstrations for prospective clients
• Participate in consultative and troubleshooting calls, diagnosing and resolving data delivery issues on behalf of clients
• Manage the ongoing client relationship as it pertains to Snowflake integrations and data feeds Proactively identify, investigate, and prevent data issues within shares and feeds before they impact clients
• Assist in building monitoring, alerting, and observability frameworks for data delivery pipelines Maintain thorough documentation of data sharing mechanisms, file formats, and integration configurations

Qualifications

• 3+ years of experience working with Snowflake (data sharing, replication, and administration strongly preferred)
• Proficiency with data delivery mechanisms such as SFTP, S3, and cloud-based data sharing
• Strong SQL skills and experience building/modifying views, tables, and stored procedures Familiarity with data pipeline orchestration and monitoring tools
• Excellent communication and presentation skills; comfortable leading demos and client-facing calls
• Experience with data lineage concepts and metadata management Familiarity with GCP is a plus
• Bachelor's Degree in computer science, mathematics, data science, or a related field
• Ability to work east coast hours
• Honesty, integrity, and accountability are paramount
• Organization and ability to manage multiple projects and meet proposed deadlines

Benefits

• Competitive annual salary Unlimited Paid Time Off Health, dental & vision insurance 401k retirement plan with company match Remote*
• In addition to our competitive compensation package, we offer a highly motivated, growing and supportive environment with the opportunity to work alongside many other highly talented professionals. We strive to continually build on our evolving culture - which is built on; innovation, drive, and top tier product creation on behalf of our global client base.
• FINTRX does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

*This position does not qualify for visa sponsorship, including H-1B, OPT, or CPT. Candidates who will require visa sponsorship now or in the future should not apply.

*Candidate must be able to work EST business hours to be considered

Originally posted on Himalayas