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
Similar Jobs
Cloud • Information Technology • Security • Software • Cybersecurity
Architect and lead large-scale cloud data platforms and AI/ML frameworks to ingest and process security telemetry. Build production ML and Generative AI solutions (LLMs, agents) to automate SOC workflows, improve threat detection, and reduce analyst workload while guiding cross-team integrations and MLOps practices.
Top Skills:
Python,Aws,Azure,Scikit-Learn,Tensorflow,Pytorch,Large Language Models (Llms),Ai Agents,Mlops,Generative Ai,Infrastructure-As-Code,Containerization,Ci/Cd,Streaming Technologies
Big Data • Information Technology
The Data Architect will design and evolve the architecture for the Consumer Canvas platform, ensuring data scalability, security, and privacy. Responsibilities include managing data ingestion, PII governance, and collaborating with cross-functional teams to develop and implement innovative data solutions.
Top Skills:
Azure Data FactoryAzure Data LakeAzure DevopsDatabricksDockerKubernetesPysparkPythonSnowflakeSparkSQL
Consulting
Lead the design and implementation of scalable data solutions using MuleSoft and Salesforce for data migration and integration, ensuring compliance and data integrity.
Top Skills:
ApexMulesoftPythonSalesforceSQL
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
