Role OverviewWe are seeking a highly experienced Senior Data & Analytics Architect to lead the design and implementation of scalable data platforms and Analytics 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.
What You Will Do
Responsibilities include designing and implementing enterprise-scale data architectures, architecting modern data platforms, defining AI/ML solution architecture, and leading architecture for data and AI workloads on cloud platforms.
Why It Might Be a Fit
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.
Requirements
- 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
- Excellent communication and stakeholder management skills
- Experience with Generative AI and LLM-based applications
- Knowledge of data governance platforms and metadata management
- Industry experience in retail, e-commerce, finance, or supply chain
- Relevant certifications (AWS/Azure/GCP Architect, Databricks, Snowflake)
- Knowledge of SAP systems and data structures is a big plus in addition to other data platforms
Benefits
- Annual Bonus Program
- Equity
- 401(k) Profit Sharing
- Medical, Dental, Vision & More!
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