VP, Data Platform
United States
Dodge Construction Network
Combining the experience and expertise of five trusted brands to give you the most timely and accurate construction information.The VP of Data Platform will be responsible for setting the vision and strategy for our data architecture. The position will collaborate with product, operations, customer care, and engineering teams to create data-driven solutions that enhance customer value and operational efficiency.
This is a full-time position and reports directly to the Chief Technology Officer.
Preferred Location
This is a remote, home-office based role and candidates located in the continental United States will be considered
Travel Requirements
Expected travel is 5% for this role
Essential Functions
- Develop and implement a data platform strategy that aligns with the company’s business goals and product roadmap
- Design and oversee scalable data architectures that enable advanced analytics
- Ensure the integrity, accessibility, and security of the company’s data assets by implementing best practices in data governance and compliance
- Evaluate and enhance the current data landscape, including assets, technology stack, architecture, and governance practices
- Lead the development and continuous evolution of scalable, robust, and business-aligned data platforms
- Implement best-in-class practices in data management, ETL processes, data warehousing, and governance to ensure high quality and trust in data
- Drive the adoption of modern tools and technologies
- Work closely with cross-functional teams (product management, engineering, architecture, customer success, and operations) to ensure the seamless integration of data capabilities into products and operations
- Effectively communicate complex data concepts and strategies to executive leadership and stakeholders, ensuring alignment with the company’s broader vision and goals
- Translate data-driven insights into actionable business outcomes, ensuring that data initiatives provide tangible value to the organization
Education Requirement
Bachelor’s degree in Computer Science, Engineering, Data Science or related field with an advanced degree preferred
Required Experience, Knowledge and Skills
- 15+ years of experience in data engineering, with at least 5 years in a leadership role within a fast-paced technology or SaaS environment
- Proven experience in building and scaling data platforms in a cloud environment such as AWS, Azure, or GCP, with a focus on scalability, security, and performance
- Expert knowledge of AWS (e.g., EC2, Redshift, EMR, Glue, S3)
- In-depth experience with data pipeline orchestration tools (e.g., Airflow, Luigi), distributed processing frameworks (e.g., Spark), and programming languages (e.g., Python, SQL)
- Strong expertise in data management principles, including data architecture, ETL processes, data governance, and data quality frameworks
- Exceptional leadership and mentorship skills with the ability to inspire teams and cultivate a high-performance culture
- Demonstrated ability to align technical solutions with overarching business goals, while identifying opportunities for data-driven innovation and operational efficiencies
- Strong communication and stakeholder management skills, with the capability to convey complex technical topics to non-technical audiences and executive leaders
Preferred Experience, Knowledge and Skills
- Familiarity with modern data lake and data warehouse architectures, real-time streaming, and event-driven systems
- Familiarity with data security and privacy regulations (e.g., GDPR, CCPA)
- Familiarity with cloud cost optimization and cost control
About Dodge Construction Network
Dodge Construction Network exists to deliver the comprehensive data and connections the construction industry needs to build thriving communities. Our legacy is deeply rooted in empowering our customers with transformative insights, igniting their journey towards unparalleled business expansion and success. We serve decision-makers who seek reliable growth and who value relationships built on trust and quality. By combining our proprietary data with cutting-edge software, we deliver to our customers the essential intelligence needed to excel within their respective landscapes. We propel the construction industry forward by transforming data into tangible guidance, driving unparalleled advancement.
Dodge is the catalyst for modern construction.
Dodge Construction Network’s compensation and rewards package for full time roles includes a market competitive salary, comprehensive benefits, and, for applicable roles, uncapped commissions plans or an annual discretionary performance bonus.
For this role, we are only considering candidates who are legally authorized to work in the United States and who do not now or in the future require sponsorship for employment visa status.
A background check is required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job and consistent with all federal state and local ordinances.
Reasonable Accommodation
Dodge Construction Network is committed to recruiting, hiring, and promoting people with disabilities. If you need an accommodation or assistance completing the online application, please email recruiting@construction.com.
Equal Employment Opportunity Statement
Dodge Construction Network is an Equal Opportunity Employer. We are committed to leveraging the talent of a diverse workforce to create great opportunities for our business and our people. All employment decisions shall be based on merit, qualifications, and business needs without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, pregnancy, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS Azure Computer Science Data governance Data management Data quality Data warehouse Data Warehousing EC2 Engineering ETL Excel GCP Privacy Python Redshift Security Spark SQL Streaming
Perks/benefits: Competitive pay Salary bonus Startup environment
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