Senior Data Architect

Key Responsibilities
Strategic Data Architecture & Pipeline Leadership
Vision & Strategy:

Define and execute the longterm strategy for our data warehousing
platform using medallion architecture (Bronze Silver Gold layers) and
modern cloudbased solutions.
EndtoEnd 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 & CrossFunctional Collaboration
People & Process:
Lead mentor and grow a highperforming 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 nontechnical 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 onpremise systems to
modern cloudbased 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

Bachelors or Masters degree in Computer Science Data Science Information
Systems or a related field.
15 years of experience in data engineering warehousing or analytics roles
with at least 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 cloudbased data
platforms.
Strong understanding of ETL/ELT best practices data modeling (logical and
physical) and largescale data processing.
Handson experience with BI tools (e.g. Tableau Looker) and familiarity with
Google Analytics and other tracking systems.
Solid understanding of attribution models (firsttouch lasttouch multi
touch) and experience working with paid marketing channels.

Leadership & Communication
Excellent leadership and team management skills with the ability to mentor
and inspire crossfunctional 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 fastpaced environment.

Perks & Benefits
Flexible/Remote Working: Enjoy flexible work arrangements in a collaborative
distributed team culture.
Competitive Compensation: Attractive salary performancebased 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.
 

Remote Work :

Yes

Employment Type :

Fulltime