Senior Data Engineer

Own technical direction for complex data engineering and AI-enabled platform capabilities within the Janus Henderson Data Platform.

Responsibilities

• Lead design and delivery of advanced data engineering capabilities across subsystems or cross-product concerns, setting technical direction within your area.
• Design systems spanning multiple products or domains, including entitlement models, concordance frameworks, semantic layers, ingestion frameworks, and reusable platform services.
• Provide deep expertise in at least one core platform pillar, such as Snowflake internals, dbt architecture, orchestration, CDC/streaming, or equivalent capabilities.
• Build reusable engineering assets including dbt macros, custom materialisations, Python packages, ingestion frameworks, MCP tooling, or shared libraries when standard tooling is insufficient.
• Diagnose and resolve performance, reliability, and cost issues across query-plan, pipelines, and the broader platform.
• Evaluate architectural trade-offs, including build-versus-buy decisions and second-order impacts on downstream reporting, analytics, operations, and regulatory processes.
• Deliver production-grade AI-enabled tooling where appropriate, including agents, retrieval pipelines, MCP servers, and other applied AI capabilities with appropriate guardrails for regulated environments.
• Own quality gates, observability, and incident learning, including postmortems, root cause analysis, and continuous improvement actions.
• Mentor junior engineers and data engineers; conduct design reviews and establish standards for consistent adoption by other engineers.
• Communicate technical trade-offs clearly to architecture, product, operations, compliance, and other non-technical stakeholders.
• Perform DevOps and source control collaboration, including branching strategy understanding and releasing production-quality code through change control processes.
• Carry out other duties as assigned.

Requirements

• Deep expertise in at least one data platform pillar: Snowflake internals, dbt architecture, orchestration, CDC/streaming, or distributed data processing.
• Advanced SQL skills, including query-plan analysis, performance tuning, cost optimization, and troubleshooting on cloud data platforms.
• Strong Python engineering ability, with experience creating reusable frameworks, packages, or libraries rather than one-off scripts.
• Proven ability to design systems spanning multiple products, domains, or platform concerns, including awareness of downstream impacts and operational risk.
• Experience making technical trade-offs under delivery pressure, including scope, quality, build-versus-buy, and maintainability decisions.
• Strong experience with DevOps and branching strategies, plus familiarity with Azure Portal/Keyvault/Appreg concepts.
• Experience with Microsoft Azure services such as Azure Data Factory, Azure Key Vault, and Azure DevOps for CI/CD and infrastructure integration.
• Working knowledge of financial services data domains, including understanding hand-offs between Investments, Distribution, Operations, Regulatory, Corporate, and Finance processes.
• Ability to write clear design documentation, present trade-offs to non-technical stakeholders, and influence engineering standards beyond your immediate area.
• Experience with production-grade AI-enabled tooling such as agents, RAG/retrieval pipelines, MCP servers, or AI-assisted engineering workflows.
• Must be able to use vscode copilot for development work.
• Experience mentoring engineers, leading design reviews, and supporting technical decision-making across a team or guild.

Technologies

• SQL, Python, Snowflake, dbt, orchestration, CDC/streaming
• MCP tooling, MCP servers
• Agents, retrieval pipelines, RAG/retrieval pipelines
• Azure Portal, Keyvault, Appreg
• Azure Data Factory, Azure Key Vault, Azure DevOps, CI/CD
• vscode copilot

Benefits

• Hybrid working and reasonable accommodations
• Generous Holiday policies
• Excellent Health and Wellbeing benefits including corporate membership to Wellhub
• Paid volunteer time
• Support for professional development (professional development courses, tuition/qualification reimbursement, and more)
• Maternal/patal leave benefits and family services
• Unique employee events and programs including a 14er challenge
• Complimentary beverages, snacks, and all employee Happy Hours
• Annual Bonus Opportunity (annual discretionary bonus award from the profit pool, funded based on Company profits)

Nice to Have

• Experience with dbt Core/Cloud, including custom macros, packages, tests, contracts, or materialisations.
• Experience designing or operating semantic layers, entitlement engines, concordance models, data contracts, or reusable platform services.
• Understanding of AI/LLM risk in regulated environments, including data egress, auditability, model non-determinism, and appropriate guardrails.
• Knowledge of data governance frameworks, lineage tooling, Data Mesh principles, and distributed data ownership.
• Certifications or demonstrable advanced capability in Snowflake, Databricks, dbt, or equivalent cloud data platform technologies.

Compensation Information

• Base salary range: $140,000 - $149,000 per year (estimated for this role; actual pay may differ).
• Position open through October 15, 2026.
• Colorado law requires an estimated closing date for job postings; applying after the date may still be possible.

Location: Denver, CO (hybrid)