ADA · 3 days ago
Solution Architect – Agentic Commerce & Payments
ADA is a leading data and artificial intelligence (AI) company that designs and executes integrated digital, analytics, and marketing solutions. They are looking for a Solution Architect to design, build, and lead end-to-end data and analytics platforms, focusing on scalable and secure data solutions that support various analytics capabilities.
AdvertisingAnalyticsArtificial Intelligence (AI)ConsultingE-CommerceMarketing
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
Qualification
Required
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
Benefits
Continuous learning & growth through certifications, knowledge sharing, and architectural ownership.
Company
ADA
ADA is a data and AI company that designs and executes integrated digital, analytics, marketing, and eCommerce solutions.
Funding
Current Stage
Late StageTotal Funding
$138MKey Investors
Mitsui & CoSoftBankSumitomo
2023-11-02Corporate Round· $58M
2021-05-11Corporate Round· $60M
2018-07-30Corporate Round· $20M
Recent News
Company data provided by crunchbase