Senior Data Platform Engineer with CDC

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

Job summary

Intellias in the United States is building a next-generation Data Platform used by engineering teams across the organization. You will design and build data publishing and consumption services based on PostgreSQL, Kafka, Debezium, and DataHub, and create GitOps-driven workflows for data contracts, schema governance, ownership, and lifecycle management.

Join to collaborate with Product, Platform, Data Engineering, Analytics, and AI/ML teams to define data standards, improve developer experience,

Qualifications

• Strong backend and data platform experience.
• Experience with streaming technologies (Kafka, Debezium).
• Familiarity with data governance, schema registries, and DataHub.
• Proficient in Kubernetes and cloud-native environments.

Responsibilities

• Design and build a next-generation Data Platform used across the organization.
• Develop data publishing and consumption services using PostgreSQL, Kafka, Debezium, and DataHub.
• Create GitOps-driven workflows for data contracts, schema governance, ownership, and lifecycle management.
• Build internal tools and automation to improve developer experience and enable self-service data products.
• Collaborate with Product, Platform, Data Engineering, Analytics, and AI/ML teams to define data standards.
• Drive platform reliability, observability, lineage, and governance practices.

Skills

Backend development

Distributed systems

PostgreSQL

Kafka

Debezium

Kubernetes

CI/CD pipelines

DevOps tooling

English communication

Tools

DataHub

Protobuf

JSON Schema

Cloud (AWS/GCP/Azure)

Job description

At Intellias, we create technology that powers global businesses. Join a team that is building the standard way data is shared across products, analytics, and AI/ML platforms, making data discoverable, governed, and reusable at scale.

What you'll do

• Design and build a next-generation Data Platform used by engineering teams across the organization.


• Develop data publishing and consumption services based on PostgreSQL, Debezium CDC, Kafka, and DataHub.


• Create GitOps-driven workflows for data contracts, schema governance, ownership, and lifecycle management.


• Build internal tools and automation that improve developer experience and enable self-service data products.


• Collaborate with Product, Platform, Data Engineering, Analytics, and AI/ML teams to define and implement data standards.


• Drive platform reliability, observability, lineage, and governance practices.

What we're looking for

• Strong software engineering experience in backend, platform, infrastructure, or data-intensive environments.


• Solid understanding of distributed systems, event-driven architectures, and scalability challenges.


• Hands-on experience with: PostgreSQL or other relational databases, Kafka, CDC, Debezium, or similar streaming technologies, Kubernetes and cloud-native environments.


• Experience building platforms, internal tooling, automation, CI/CD pipelines, or developer-facing services.


• Ability to work through ambiguity, make architectural decisions, and deliver production-ready solutions.


• Strong English communication skills.

Nice to have

• DataHub or other data catalog / governance platforms


• Apache Iceberg, data lakes, BigQuery, ClickHouse, or similar analytical platforms


• Data contracts, schema registries, Protobuf, Avro, JSON Schema


• Infrastructure as Code, GitHub Actions, operators, controllers


• Experience supporting Analytics, AI/ML, or feature-store ecosystems


• Knowledge of Python, Go, TypeScript, JVM languages, or Ruby

Why join?

• Shape a platform from the ground up rather than maintain existing pipelines.


• Influence how data products are published, governed, and consumed across the organization.


• Collaborate with engineering, analytics, infrastructure, and AI teams.


• Join a global technology company with 3,000+ professionals delivering impactful digital solutions.

Interested? Let's build the future of governed data sharing together.