About the Role:We are seeking a highly experienced Senior Data & AI Solution Architect to lead the design and implementation of scalable data platforms and AI-driven solutions across the organization. This role is responsible for translating business needs into robust data architectures, enabling advanced analytics, machine learning, and AI capabilities that drive strategic decision-making and operational efficiency.
The ideal candidate has deep expertise in data architecture, cloud platforms, AI/ML frameworks, and enterprise integration, along with strong leadership and stakeholder engagement skills. This role reports to the VP - Development & Data.
Responsibilities Include: Data & AI Architecture
- Design and implement enterprise-scale data architectures supporting analytics, machine learning, and AI applications.
- Architect modern data platforms including data lakes, lakehouses, warehouses, and real-time pipelines.
- Define AI/ML solution architecture including model training, deployment, monitoring, and governance.
Clouds & Platform Engineering
- Lead architecture for data and AI workloads on cloud platforms (AWS, Azure, or GCP).
- Implement scalable pipelines using technologies such as Spark, Databricks or similar.
- Optimize system performance, scalability, security, and cost.
AI & Machine Learning Solutions
- Architect and guide development of AI-driven solutions including predictive analytics, NLP, recommendation systems, and generative AI applications.
- Support MLOps and AI lifecycle management including model deployment, monitoring, and versioning.
Enterprise Integration
- Design integrations between data platforms, operational systems, and AI services.
- Establish APIs, event-driven architectures, and data sharing frameworks.
Governance & Security
- Define and implement data governance, security, and compliance standards.
- Ensure adherence to privacy regulations and enterprise security frameworks.
Stakeholder Engagement
- Collaborate with business leaders, product teams, and engineering teams to translate business problems into technical solutions.
- Lead architecture reviews and provide technical guidance across multiple initiatives.
Leadership & Mentorship
- Mentor data engineers, ML engineers, and architects.
- Establish architecture standards, design patterns, and best practices.
- Influence strategic technology decisions across the organization.
About The Pay:- Base Salary: $165,000 - $190,000 Annually
- Annual Bonus Program
- Equity
- 401(k) Profit Sharing
- Medical, Dental, Vision & More!
- Final compensation will be determined based upon experience and skills and may vary based on location.
About You: - 10+ years of experience in data engineering, analytics, or platform architecture.
- 5+ years designing cloud-based data platforms and AI/ML solutions.
- Strong expertise with data architecture patterns (data lake, lakehouse, warehouse).
- Experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, or similar).
- Hands-on experience with big data technologies (Spark, Databricks, Hadoop ecosystem, etc.).
- Strong knowledge of SQL, Python, and distributed data systems.
- Experience implementing MLOps pipelines and model lifecycle management.
- Experience with Generative AI and LLM-based applications.
- Knowledge of data governance platforms and metadata management.
- Experience with real-time data streaming platforms (Kafka, Kinesis, etc.).
- Industry experience in retail, e-commerce, finance, or supply chain.
- Relevant certifications (AWS/Azure/GCP Architect, Databricks, Snowflake).
