Solution Architect - Agentic Commerce & Payments

Solution Architect – Agentic Commerce & Payments

We are looking for a Solution Architect to design, build, and lead end-to-end data and analytics platforms. This role spans data engineering, analytics enablement, and advanced AI/agentic analytics. You will architect scalable, secure, and cloud-agnostic data solutions that support the full analytics spectrum—from descriptive and diagnostic analytics to predictive, prescriptive, and agent-driven systems. You will work closely with business stakeholders, data engineers, analysts, and data scientists to translate business objectives into robust, future-ready data architectures.

Key Responsibilities

• Own end-to-end solution architecture for enterprise data platforms (lakehouse, warehouse, data mesh).
• Design cloud-agnostic and multi-cloud architectures across AWS, Azure, GCP, and hybrid environments.
• Define non-functional requirements: scalability, availability, security, performance, and cost efficiency.
• Produce architecture blueprints, reference designs, and technical standards.

• Design and implement batch and streaming data pipelines (ETL/ELT).
• Architect data ingestion, storage, and consumption layers with clear data zoning and lifecycle management.
• Enable CI/CD, Infrastructure-as-Code, and automation for data platforms.
• Ensure high-quality, reliable, and well-documented data products.

• Enable analytics across the spectrum:
• Descriptive & diagnostic (BI, dashboards, reporting)
• Predictive & prescriptive (ML models, forecasting, optimization)
• Agentic analytics (LLM/RAG-based systems, autonomous or semi-autonomous agents)
• Architect platforms that support self-service analytics and experimentation.
• Define MLOps and model governance practices including deployment, monitoring, and retraining.

• Implement data governance, metadata management, lineage, and access controls.
• Ensure compliance with data privacy and regulatory requirements.
• Establish observability, SLOs, cost monitoring, and operational best practices.

• Act as a technical leader and mentor for senior engineers and architects.
• Partner with product, analytics, and business teams to align data solutions with outcomes.
• Support client engagements, technical workshops, and solutioning where required.

Must-Have Qualifications: Core Experience 10+ years of experience across Data Engineering, Data Science, or Applied AI roles. Proven hands-on experience delivering end-to-end data and AI systems in production.

• Strong experience with modern data stacks (e.g., Spark, Databricks, Snowflake, BigQuery).
• Expertise in building reliable ETL/ELT pipelines and streaming architectures.
• Solid understanding of data modeling, governance, and data quality frameworks.

• Experience across the full analytics spectrum: descriptive → agentic.
• Strong foundations in statistics, machine learning, and optimization.
• Hands-on experience with Python-based ML stacks.

• Practical experience building LLM-based systems using frameworks such as LangChain or similar.
• Experience with RAG, prompt engineering, tool/function calling, and agent orchestration.
• Understanding of AI safety, evaluation, and hallucination mitigation strategies.

• Strong problem-solving skills with a bias for execution.
• Comfortable working in ambiguity and shaping problems from first principles.
• Ability to balance speed, quality, and long-term architecture.

We offer a comprehensive benefits package designed to support the health, well-being, and financial security of our employees and their families. Eligible employees may receive:

• Health Insurance: Medical, dental, and vision coverage
• Retirement Plans: Participation in a company-sponsored retirement savings plan.
• Legal Service Plans: Offering access to attorneys for legal advice and representation.

VARITE is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.