SRM Digital LLC · 8 hours ago
eCommerce Solution Architect
United States
Full-time
Remote
Senior Level, Lead/Staff
10+ years expSRM Digital LLC is seeking a Solution Architect to design, build, and lead end-to-end data and analytics platforms supporting large-scale E-commerce and Payment ecosystems. The role requires the architecting of scalable, secure, and cloud-agnostic data solutions while collaborating closely with various stakeholders to translate business objectives into future-ready architectures.
Staffing & Recruiting
Hiring Manager
Rishabh Singh
Responsibilities
Own the 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 including scalability, availability, security, performance, and cost optimization
Produce architecture blueprints, reference architectures, and technical standards
Architect solutions supporting high-volume E-commerce transactions, payment processing, and real-time analytics
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 (IaC), and automation for data platforms
Build data platforms handling orders, payments, refunds, settlements, fraud signals, and customer behavior
Ensure high-quality, reliable, and well-documented data products
Enable analytics across the full spectrum: Descriptive & Diagnostic – BI, dashboards, reporting, KPIs; Predictive & Prescriptive – forecasting, optimization, ML models; Agentic Analytics – LLM/RAG-based systems, autonomous or semi-autonomous agents
Architect platforms supporting self-service analytics, experimentation, and feature engineering
Define MLOps and model governance practices including deployment, monitoring, retraining, and versioning
Enable AI-driven use cases such as demand forecasting, churn prediction, fraud detection, payment optimization, and personalization
Implement data governance, metadata management, lineage, and role-based access controls
Ensure compliance with data privacy, financial regulations, and payment security standards (e.g., PCI-DSS)
Establish observability, SLOs, cost monitoring, and operational best practices
Design architectures that ensure data security, encryption, auditability, and resilience
Act as a technical leader and mentor for senior engineers and architects
Partner with product, analytics, finance, and business teams to align data solutions with measurable outcomes
Support client engagements, technical workshops, architecture reviews, and solutioning activities
Communicate complex technical concepts clearly to executive and non-technical stakeholders
Qualification
Required
10+ years of experience across Data Engineering, Data Science, or Applied AI roles
Proven experience delivering end-to-end data and AI systems in production environments
Strong experience supporting E-commerce platforms, payment systems, or high-volume transactional data
Strong experience with modern data stacks (e.g., Spark, Databricks, Snowflake, BigQuery)
Expertise in building reliable ETL/ELT pipelines and real-time streaming architectures
Solid understanding of data modeling, governance, data quality, and master data management
Experience across the full analytics spectrum: descriptive → predictive → prescriptive → agentic
Strong foundations in statistics, machine learning, and optimization techniques
Hands-on experience with Python-based ML frameworks and libraries
Practical experience building LLM-based solutions using frameworks such as LangChain or similar
Experience with RAG architectures, prompt engineering, tool/function calling, and agent orchestration
Understanding of AI safety, evaluation, bias, and hallucination mitigation strategies
Company
SRM Digital LLC
We at SRM Digital are focused towards connecting businesses with top talent across various industries.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase