Job
Description
We are looking for a skilled Senior Data Architect with 15 to 20 years of experience to lead our data warehousing function, setting the vision and direction for driving actionable insights across revenue, subscriptions, paid marketing channels, and operational functions. This role is based in Remote.
Roles and Responsibility
Define and execute the long-term strategy for our data warehousing platform using medallion architecture and modern cloud-based solutions.Oversee end-to-end pipeline design, implementation, and maintenance for seamless integration with business intelligence tools.Champion best practices in data modeling, including the effective use of DBT packages to streamline complex transformations.Establish rigorous data quality standards, governance policies, and automated validation frameworks across all data streams.Develop frameworks to reconcile revenue discrepancies and unify validation across Finance, SEM, and Analytics teams.Implement robust monitoring and alerting systems to quickly identify, diagnose, and resolve data pipeline issues.Lead, mentor, and grow a high-performing team of data warehousing specialists, fostering a culture of accountability, innovation, and continuous improvement.Partner with RevOps, Analytics, SEM, Finance, and Product teams to align the data infrastructure with business objectives, serving as the primary data warehouse expert in discussions around revenue attribution and paid marketing channel performance.Translate complex technical concepts into clear business insights for both technical and non-technical stakeholders.Oversee deployment processes, including staging, QA, and rollback strategies, to ensure minimal disruption during updates.Regularly assess and optimize data pipelines for performance, scalability, and reliability while reducing operational overhead.Lead initiatives to transition from legacy on-premise systems to modern cloud-based architectures for improved agility and cost efficiency.Stay abreast of emerging trends and technologies in data warehousing, analytics, and cloud solutions.Propose and lead innovative projects to enhance our data capabilities, with a particular focus on predictive and prescriptive analytics.Represent the data warehousing function in senior leadership discussions and strategic planning sessions.Job Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field.Proven track record in designing and implementing scalable data warehousing solutions in cloud environments.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.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.