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Data Operations Lead, B2B

Data Engineer Full-time Permanent Ecuador

Job details

Not specified Salary
Ecuador Eligibility
Lead Experience
Full-time Employment

About this role

Role overview

Lead data onboarding and measurement readiness for business-to-business and lead-generation programs, connecting marketing activity to pipeline and revenue outcomes. This senior individual contributor role spans post-sale integration delivery, pre-sale data assessment, and support for measurement programs. It requires translating inconsistent client data into reliable, documented inputs that downstream analytics teams can use.

Responsibilities

- Own client data onboarding from initial scoping through integration checks and measurement readiness. - Lead intake sessions to define lead stages, CRM fields, conversion logic, and attribution considerations. - Coordinate data connections across CRM, marketing automation, demand generation, call tracking, and form capture platforms. - Ingest and normalize nonstandard sources such as CSV files, spreadsheets, screenshots, and custom feeds; use assisted extraction or schema mapping where appropriate. - Validate that integrations are live and data is arriving correctly, then hand off to analytics engineering for modeling. - Support prospect conversations and pre-sale data audits, and prepare reconciled pipeline inputs for measurement models.

Requirements

- At least 4 years in data operations, marketing analytics, or marketing technology, including direct client or stakeholder work. - Hands-on knowledge of B2B and lead-generation data ecosystems, including Salesforce or HubSpot, Marketo or Pardot, and tools such as LinkedIn Ads, 6sense, or Demandbase. - Experience handling unstructured lead data, including manual reconciliation and custom ingestion workflows. - SQL skills and practical Snowflake experience for querying, validation, and routine troubleshooting. - Advanced spoken and written English, with confidence gathering requirements and explaining data capabilities to both technical and nontechnical audiences. - Familiarity with AI-assisted data extraction or normalization, ETL tools such as Fivetran or Funnel, and data pipeline concepts.

Nice to have

- Experience preparing B2B pipeline and revenue data for marketing mix modeling, attribution, or incrementality analysis. - Ability to maintain clear, reusable integration documentation and advise on data readiness during sales discussions.

Skills detected in the listing

GoSQLSnowflakeData Engineering
Detected Oct 9, 2026
Last verified Oct 9, 2026

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