Data Warehousing

Company Description

Forbes Advisor, part of the Forbes Marketplace family, provides consumers with

expert-written insights, news, and reviews on personal finance, health, business, and

everyday life decisions. We empower our audience with data-driven knowledge so

they can make informed choices confidently—balancing the agility of a startup with

the stability of a seasoned enterprise

Role Overview

The Head of Data Warehousing is a strategic, senior leadership role responsible for

setting the vision and direction of our data warehousing function. You will architect,

implement, and maintain a state-of-the-art data warehouse that drives actionable

insights across revenue, subscriptions, paid marketing channels, and operational

functions. Your leadership will ensure data quality, robust pipeline design, and

seamless integration with business intelligence tools. This role requires a strong mix

of technical acumen, team management, and cross-functional collaboration—

especially with teams focused on SEM, Digital Experiences, and revenue attribution

Job Description

Key Responsibilities

Strategic Data Architecture & Pipeline Leadership

●Vision & Strategy:

○Define and execute the long-term strategy for our data warehousing

platform using medallion architecture (Bronze, Silver, Gold layers) and

modern cloud-based solutions.

●End-to-End Pipeline Oversight:

○Oversee data ingestion (via Google Ads, Bing Ads, Facebook Ads, GA,

APIs, SFTP, etc.), transformation (leveraging DBT, and SQL [via

BigQuery]), and reporting, ensuring that our pipelines are robust and

scalable.

●Data Modeling Best Practices:

○Champion best practices in data modeling, including the effective use

of DBT packages to streamline complex transformations.

Data Quality, Governance & Attribution

●Quality & Validation:

○Establish and enforce rigorous data quality standards, governance

policies, and automated validation frameworks across all data streams.

●Standardization & Visibility:

○Collaborate with the Data Engineering, Insights and BIOps team to

standardize data definitions (including engagement metrics and

revenue attribution) and ensure consistency across all reports.

●Attribution Focus:

○Develop frameworks to reconcile revenue discrepancies and unify

validation across Finance, SEM, and Analytics teams.

○Ensure accurate attribution of revenue and paid marketing channel

performance, working closely with SEM and Digital Experiences teams.

●Monitoring & Alerting:

○Implement robust monitoring and alerting systems (e.g., Slack and

email notifications) to quickly identify, diagnose, and resolve data

pipeline issues.

Team Leadership & Cross-Functional Collaboration

●People & Process:

○Lead, mentor, and grow a high-performing team of data warehousing

specialists, fostering a culture of accountability, innovation, and

continuous improvement.

●Stakeholder Engagement:

○Partner with RevOps, Analytics, SEM, Finance, and Product teams to align

the data infrastructure with business objectives.

○Serve as the primary data warehouse expert in discussions around

revenue attribution and paid marketing channel performance, ensuring

that business requirements drive technical solutions.

●Communication:

○Translate complex technical concepts into clear business insights for

both technical and non-technical stakeholders.

Operational Excellence & Process Improvement

●Deployment & QA:

○Oversee deployment processes, including staging, QA, and rollback

strategies, to ensure minimal disruption during updates.

●Continuous Optimization:

○Regularly assess and optimize data pipelines for performance,

scalability, and reliability while reducing operational overhead.

●Legacy to Cloud Transition:

○Lead initiatives to transition from legacy on-premise systems to

modern cloud-based architectures for improved agility and cost

efficiency.

Innovation & Thought Leadership

●Emerging Trends:

○Stay abreast of emerging trends and technologies in data warehousing,

analytics, and cloud solutions.

●Pilot Projects:

○Propose and lead innovative projects to enhance our data capabilities,

with a particular focus on predictive and prescriptive analytics.

●Executive Representation:

○Represent the data warehousing function in senior leadership

discussions and strategic planning sessions

**Qualifications

Education & Experience**

●Bachelor’s or Master’s degree in Computer Science, Data Science, Information

Systems, or a related field.

●8+ years of experience in data engineering, warehousing, or analytics roles,

with at least 3–5 years in a leadership capacity.

●Proven track record in designing and implementing scalable data

warehousing solutions in cloud environments.

Technical Expertise

●Deep experience with medallion architecture and modern data pipeline tools,

including DBT (and DBT packages), Databricks, SQL, and cloud-based data

platforms.

●Strong understanding of ETL/ELT best practices, data modeling (logical and

physical), and large-scale data processing.

●Hands-on experience with BI tools (e.g., Tableau, Looker) and familiarity with

Google Analytics, and other tracking systems.

●Solid understanding of attribution models (first-touch, last-touch, multi-

touch) and experience working with paid marketing channels.

Leadership & Communication

●Excellent leadership and team management skills with the ability to mentor

and inspire cross-functional teams.

●Outstanding communication skills, capable of distilling complex technical

information into clear business insights.

●Demonstrated ability to lead strategic initiatives, manage competing

priorities, and deliver results in a fast-paced environment.

Perks & Benefits

●Flexible/Remote Working: Enjoy flexible work arrangements in a collaborative,

distributed team culture.

●Competitive Compensation: Attractive salary, performance-based bonuses,

and comprehensive benefits.

●Time Off: Generous paid time off, parental leave policies, and a dedicated day

off on the 3rd Friday of each month.

If you are a visionary leader with a passion for building resilient data infrastructures,

a deep understanding of revenue attribution and paid marketing channels, and a

proven ability to drive strategic business outcomes through data, we invite you to

join our Data & Analytics team and shape the future of our data warehousing

function.

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