Senior Analytics Engineer

Bandwidth Inc. is a global software company that helps enterprises deliver exceptional experiences through voice, messaging, and emergency services. They are seeking a Senior Analytics Engineer to serve as a senior technical authority for the analytics data layer, driving scalable modeling patterns, governance, and performance across multiple domains.

Responsibilities:

• Architect the analytics layer: Design enterprise-grade dimensional models, conformed dimensions, and shared marts enabling consistent reporting across domains
• Establish standards and governance: Define/enforce modeling conventions, metric definitions, documentation requirements, and data contracts
• Lead complex initiatives: Drive cross-team builds/rebuilds and migrations end-to-end with clear impact analysis, sequencing, risk management, and stakeholder alignment
• Lead semantic modeling: Define semantic modeling strategy and patterns (entities, relationships, governed metrics) for BI and agent consumers
• Lead agent enablement patterns: Establish data structures and governance to support AI agents (grounding/citations-ready provenance, versioned prompts/config where applicable, evaluation datasets, exception queues)
• Implement observability patterns: Establish monitoring/alerting strategy (freshness/volume/quality) and basic anomaly detection guardrails; mature incident response playbooks
• Ensure platform excellence: Create performance and cost guardrails for Snowflake; standardize efficient patterns in dbt and SQL; prevent regressions
• Lead Snowflake Administration (analytics-facing): Own analytics-oriented administration patterns including RBAC conventions for consumption, access workflows, operational guardrails, and cost governance (production administration expectation)
• Operationalize AI/analytics workflows: Define and standardize n8n automation patterns for approvals, escalations, exception queues, and system-to-system integrations supporting analytics and agent workflows
• Represent analytics engineering in architecture reviews and governance councils
• Participate in tool/vendor evaluations and implementation planning within approved stack and capability categories

Requirements:

• Bachelor's degree required; Master's preferred (or equivalent senior-level experience)
• 5–8+ years relevant experience in analytics engineering, analytics-focused data engineering, or BI platform engineering
• Expert SQL and deep experience with dimensional modeling and enterprise metric consistency
• Significant dbt experience including project architecture, macros, test strategy, templates, and deployments; deep understanding of analytics-engineering workflows (dbt, governance, testing)
• Demonstrated leadership in driving technical initiatives and mentoring other engineers
• In-depth knowledge of generative AI / LLM concepts and enterprise application patterns (agent enablement, governance)
• Working leadership knowledge of production Snowflake administration (analytics-facing)
• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent experience
• Strong Python proficiency for automation, validation frameworks, and data tooling
• Experience implementing semantic/metric layer tooling (category) at scale
• Familiarity with data cataloging/lineage tooling (category)
• Experience coordinating orchestration patterns with tools such as Prefect
• Demonstrated success implementing integration frameworks using tools such as n8n (and similar platforms)
• Technical vision with ability to balance innovation and practical implementation