Note: The job is a remote job and is open to candidates in USA. Infinity Constellation is a data and AI company building modern data platforms and AI-enabled solutions. The Senior Data Engineer will architect and implement scalable data infrastructure, streaming systems, data models, and AI-ready reporting layers while leading client projects and serving as a trusted technical partner.
Responsibilities
- You'll architect and implement data platforms end-to-end
- You design models for business, analytics and AI consumption
- You've implemented streaming pipelines in production, and are familiar with popular technologies such as Kafka, Flink, Redpanda, or similar
- You'll work directly with client teams - scoping requirements, presenting architecture decisions, and walking stakeholders through tradeoffs
- You'll present to business stakeholders, explain tradeoffs in plain language, and build trust through delivery
- You'll write the query, sketch the schema, or spin up the prototype if that's what moves things forward
Skills
- Clear communication. This role is client facing - you'll present to business stakeholders, explain tradeoffs in plain language, and build trust through delivery. This is the most important part of the job
- Significant experience building production data systems, with senior-level ownership of architecture decisions
- Deep understanding of modern data architecture and platforms - you've implemented Snowflake, BigQuery, or Databricks, not just used them
- Hands-on knowledge of building scalable and secure data pipelines: orchestration, transformation frameworks (dbt or similar), cloud infrastructure (AWS or GCP)
- Strong opinions on data modeling best practices - Kimball, star schema, Data Vault - and the judgment to pick the right one for the problem
- An understanding of how AI changes data platform design: semantic layers, metadata, and governance built so LLMs and agents can consume data reliably. Direct experience here is a plus; genuine interest is required
- Experience implementing streaming pipelines with Kafka, Flink, Redpanda, or similar
- A business orientation and focus on results: you understand that the pipeline exists to answer a business question, and you make tradeoffs accordingly
- A bias for doing: you'll write the query, sketch the schema, or spin up the prototype if that's what moves things forward
Benefits
- Offers also include bonus
- Medical, dental, and vision coverage
- Unlimited PTO
- 401(k) Plan
Company Overview
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