Senior Data Engineer - AI-Driven Data Platform Lead

Janus Henderson Group; Denver, Northern (CO, KY); Hybrid; USD 140,000 - 149,000; Full time

Benefits offered by this job

Hybrid working

Health benefits

Volunteer time

Professional development

Parental leave

Employee events

Snacks & beverages

Job summary

Janus Henderson Investors in Denver seeks a Senior Data Engineer to own the technical direction for data platform subsystems. You will influence architectural decisions, design resilient data products, and create reusable assets spanning multiple domains.

Responsibilities include delivering complex data capabilities, optimizing performance, and mentoring engineers. This role requires Applied AI fluency, deep domain awareness, and strong collaboration with product and compliance teams.

Qualifications

• Deep expertise in at least one data platform pillar, such as Snowflake internals, dbt architecture, orchestration, CDC/streaming or distributed data processing.
• Advanced SQL skills for query-plan analysis, performance tuning and cost optimization on cloud data platforms.
• Strong Python engineering capability with reusable frameworks or libraries.
• Proven ability to design systems spanning multiple products, domains or platform concerns.

Responsibilities

• Own design and delivery of complex data engineering capabilities across subsystems or cross-product concerns.
• Design systems that span multiple products or domains and reusable platform services.
• Provide deep technical expertise in core pillars (Snowflake, dbt, orchestration, CDC/streaming).
• Build reusable assets like dbt macros, Python packages, ingestion frameworks and MCP tooling.
• Diagnose and resolve performance, reliability and cost issues at query-plan, pipeline and platform level.
• Assess architectural trade-offs, build-versus-buy decisions and downstream impacts.
• Design and deliver production‑grade AI-enabled tooling with guardrails for regulated environments.
• Own quality gates, observability and incident learning with postmortems and RCA.
• Mentor junior engineers, run design reviews and establish standards.
• Communicate trade-offs clearly to architecture, product, operations, and compliance.

Skills

Snowflake internals

dbt architecture

Orchestration

CDC/Streaming

Distributed processing

Advanced SQL

Python frameworks

System design across domains

DevOps

Azure

Azure Data Factory

Azure Key Vault

Azure DevOps

Data governance

Job description

Janus Henderson Investors in Denver seeks a Senior Data Engineer to own the technical direction for data platform subsystems. You will influence architectural decisions, design resilient data products, and create reusable assets spanning multiple domains.

Responsibilities include delivering complex data capabilities, optimizing performance, and mentoring engineers. This role requires Applied AI fluency, deep domain awareness, and strong collaboration with product and compliance teams.