Lead the design and implementation of data solutions, mentor analytics engineers, and ensure high-quality data for AI and analytics.
Job Summary & Responsibilities
Advance Local is looking for a Data Architect to lead the design and implementation of enterprise-level data solutions within our modern cloud data platform. This role combines deep technical expertise in analytics engineering with leadership responsibilities to ensure the delivery of well-documented, tested, and high-quality data assets that enable AI, data products, advanced analytics, and self-service reporting. You’ll guide strategic data initiatives, mentor a team of analytics engineers, and collaborate with data engineering and business stakeholders to deliver impactful, scalable solutions.
The base salary range is $185,000 - $200,000 per year.
What you’ll be doing:
- Architect and oversee scalable data models, pipelines, and frameworks in Snowflake using dbt, ensuring that they meet quality standards for AI agents, advanced analytics, and self-service reporting.
- Lead the design and governance of analytics-ready data models, ensuring they are well-modeled, performant, and accessible to downstream consumers.
- Drive rapid prototyping of new data products and features, providing technical direction and hand-on guidance when needed.
- Establish and enforce data quality, testing, and documentation standards across all data assets, ensuring reliability and trustworthiness.
- Develop advanced solutions for audience data modeling and identity resolution, supporting personalization and segmentation strategies.
- Partner with Audience Strategy and Insights teams to translate requirements into technical solutions and automation.
- Collaborate with the Lead Data Engineer on data integration patterns and ensure seamless handoffs between raw data ingestion and analytics-ready models.
- Establish data architecture standards and development practices (version control, CI/CD, testing frameworks) that enable team scalability.
- Enable data accessibility and integration solutions that support both technical and non-technical users across the organization.
- Provide technical leadership to a Data Manager and their team of analytics engineers, fostering a culture of best practices, code review, and continuous improvement.
Our ideal candidate will have the following:
- Bachelor’s or master’s degree in computer science, data engineering, information systems, or related field
- Minimum ten years’ experience in data engineering, data analytics engineering, architecture, or related roles, with proven experience leading data teams and managing complex data ecosystems
- Expert level proficiency in dbt and Snowflake with demonstrated ability to build production-grade data models and pipelines
- Strong knowledge of cloud platforms (AWS, Azure, GCP) and data warehousing best practices
- Proficiency in big data technologies (Spark, Hadoop) and streaming frameworks
- Familiarity with data governance, security, and compliance standards
- Experience with audience segmentation, marketing analytics, or customer data platforms
- Knowledge of machine learning pipelines, advanced analytics and AI applications
- Strategic thinking and ability to align data initiatives with business objectives
- Strong communication and stakeholder management skills
- Proven ability to lead cross-functional teams and drive organizational change
- Experience building data solutions that support self-service analytics and data demonstrations
Top Skills
AWS
Azure
Dbt
GCP
Hadoop
Snowflake
Spark
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