Principal, Data Analyst/BI Engineer

DEPT®

3h•$108,600 - $145,000•Remote

About The Position

We are looking for a Principal, Data Technology to serve as a key technical anchor for the data and measurement ecosystem behind our client work. This is a builder's role, and you are equal parts data engineering expert and marketing technology specialist. You understand how modern platforms are architected, governed, and scaled; how semantic and analytical layers enable trusted decision-making; and how the underlying infrastructure, automation, and operational processes run reliably at scale. You are equally fluent in marketing technology and measurement strategy. You understand how customer interactions become measurable signals, how consent and privacy requirements shape data collection, and how those signals flow through an organization's technology ecosystem to support activation, optimization, and business intelligence. You'll support the full signal-to-insight lifecycle, from data capture and collection, through identity, consent, and measurement frameworks, into data pipelines, modeling, governance, and ultimately the reporting and analytical experiences that drive business decisions. This role is responsible for ensuring every layer of the ecosystem works together as a cohesive, scalable, and trustworthy platform. At DEPT®, we take an engineering-first approach to solving business problems with data. As a principal technical leader within the practice, you'll guide the direction for data and measurement capabilities while remaining hands-on to define architecture, challenge assumptions, and drive delivery with credibility.

Requirements

5–7 years in data engineering, analytics, or marketing technology, including technical leadership of data-intensive projects and mentoring engineering teams.
A track record as both strategist and practitioner who stays hands-on.
Deep, hands-on experience across Snowflake and BigQuery—modeling, performance, governance, and cost, and strong SQL.
Demonstrated Looker / LookML expertise as a primary visualization and semantic layer.
Strong Python skills, with proven ETL/ELT design and hands-on experience across AWS and Google Cloud Platform.
Subject-matter-level command of the marketing data stack, tag management, CDPs, server-side tracking, CAPI / Enhanced Conversions / Offline Conversion Import, Consent Mode, with the depth to direct specialists and speak with authority in front of clients.
Working command of privacy and consent regulation (CCPA/CPRA, GDPR) and its practical impact on tracking and measurement.
Strong communication skills across executive, client, and engineering audiences.

Nice To Haves

Agency experience supporting a major global brand is a plus.
Hands-on familiarity with tools like Matillion, dbt, Fivetran, or Airflow is a plus.
Experience with server-side GTM, identity/clean-room work (e.g., LiveRamp), or mobile measurement (AppsFlyer / Adjust / Branch) is a plus.

Responsibilities

Contribute to the multi-quarter data technology roadmap across both BI and MarTech, aligned to the client's business goals.
Act as a key technical voice in relationships, translating business questions into measurable data problems and technical realities into actionable language.
Guide architecture decisions, measurement methodology, and data-quality frameworks across the practice.
Balance near-term delivery with the long-term discipline of a maintainable, well-governed ecosystem.
Support the BI stack end to end, covering ingestion, transformation, modeling, and activation, across Snowflake and BigQuery.
Write the Python, design the models, stand up the AWS/GCP/ETL plumbing, and conduct thorough code reviews.
Work with Looker / LookML as the governed semantic layer and primary visualization surface, driving toward trusted self-serve analytics.
Enforce the practices that keep a warehouse sound: modeling conventions, access governance, cost management, and pipeline observability.
Be a technical authority on the marketing data stack, able to diagnose a consent, tagging, or measurement issue and direct implementation specialists.
Command the major media platforms and their supporting technology: Google Ads, Meta, SA360, DV360, CM360, alongside tag management (GTM, Tealium), CDPs, and server-side tracking.
Implement strategies for modern signal capture, spanning Consent Mode v2, server-side GTM, Conversions API (CAPI), Enhanced Conversions, Offline Conversion Import, and Customer Match, as well as mobile attribution (MMPs, SDKs, SKAdNetwork / Aggregated Event Measurement).
Maintain the compliance posture for data tracking, covering CCPA/CPRA, GDPR, and consent frameworks, ensuring measurement holds up in a signal-loss, cookie-deprecation environment built on durable first-party data.
Set high technical standards and elevate the specialists around you through advanced code reviews and architectural workshops.
Represent the practice's data capability to client stakeholders.
Serve as an internal and external escalation point for complex technical, prioritization, and delivery challenges.