Infinity

Senior Data Engineer - Paradox Machines

Infinity
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2 months ago
USA (city not specified)Senior

Base Salary

$140k - $160k/yr

Responsibilities

  • Architect and implement end-to-end modern data platforms, including warehouses, data lakes, table formats, ELT patterns, semantic layers, and orchestration.
  • Design data models for business, analytics, and AI consumption using approaches such as star schema, Data Vault, and OBT.
  • Build and operate scalable production data pipelines and streaming systems with attention to schema evolution, backpressure, and exactly-once semantics.
  • Develop data infrastructure that supports dashboards, analysts, applications, agents, and natural-language data queries.
  • Lead customer projects, scope requirements, implement solutions, present architecture decisions, and explain tradeoffs to technical and business stakeholders.
  • Work directly with the CEO and a senior team while owning architecture decisions and delivering practical prototypes and solutions.

Requirements

  • Significant experience building production data systems with senior-level ownership of architecture decisions.
  • Hands-on production experience implementing Snowflake, BigQuery, or Databricks.
  • Deep understanding of modern data architecture, including data warehouses, data lakes, orchestration, transformation frameworks, and semantic layers.
  • Experience building scalable and secure data pipelines using dbt or a similar transformation framework and AWS or GCP.
  • Strong knowledge of data modeling approaches including Kimball, star schema, Data Vault, and related patterns.
  • Production experience implementing streaming pipelines with Kafka, Flink, Redpanda, or similar technologies.
  • Understanding of semantic layers, metadata, governance, and reliable data consumption by LLMs and agents.
  • Clear communication skills and the ability to present architecture decisions and tradeoffs to engineers, business leaders, and client stakeholders.
  • Business orientation, sound technical judgment, and willingness to write queries, sketch schemas, and build prototypes.

Benefits

  • Annual salary range of $140,000-$160,000 USD, with additional bonus eligibility.
  • Medical, dental, and vision coverage.
  • Unlimited paid time off.
  • 401(k) plan.
  • Compensation tiers vary by location, with international compensation aligned to local market conditions and cost of living.

Tech Stack

Apache FlinkApache KafkaAWSDatabricksdbtGoogle BigQueryGoogle Cloud PlatformSnowflake

Categories

Data Engineering
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