Remote Integrations Consultant, Data & Migration

Gigawatt AI; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Remote work flexibility

401(k) match

Equity

Job summary

Gigawatt is hiring an Integrations Consultant to own data readiness and end-to-end integration for customer go-lives. You will map source data, design migration loads, and build inbound/outbound integrations across API, Kafka, and events.

You will work with Engineering, Product, and customer teams to ensure data flows are reliable, scalable, and aligned with the four-pattern approach. The role requires hands-on data engineering and strong SQL skills.

Qualifications

• Hands-on integration and data engineering experience across enterprise data flows.
• Data migration, validation, and cutover support on real implementations.
• Tooling fluency with Boomi, Kafka/Confluent, CDC and ETL.
• Ability to reason about data landscapes and design robust integration approaches.
• Experience delivering for demanding enterprise customers.

Responsibilities

• Own customer data readiness and mapping for go-lives.
• Build and run migration/conversion loads with data teams.
• Build inbound integrations (API read/write, Kafka, CDC).
• Build outbound flows to publish data, bills, and events.
• Maintain mappings and data quality in both directions.
• Ensure reliability with monitoring and alerting.
• Collaborate with Engineering, Product, and customer teams.
• Reuse framework patterns and contribute connectors.

Skills

Integration design

Data migration

API/SDK experience

SQL proficiency

Kafka/Confluent

Tools

Boomi

Kafka/Confluent

GoldenGate

SQL

GraphQL APIs

Job description

Gigawatt is hiring an Integrations Consultant to own data readiness and end-to-end integration for customer go-lives. You will map source data, design migration loads, and build inbound/outbound integrations across API, Kafka, and events.

You will work with Engineering, Product, and customer teams to ensure data flows are reliable, scalable, and aligned with the four-pattern approach. The role requires hands-on data engineering and strong SQL skills.