Pre-Sales Solution Architect - Data & AI

Addepto is a leading AI consulting and data engineering company that builds scalable, ROI-focused AI solutions for large enterprises and startups. The company specializes exclusively in Artificial Intelligence and Big Data, helping organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth. Addepto is part of KMS Technology, a US-based global technology group, combining deep AI specialization with enterprise-scale delivery capabilities.

• 8+ years in solution architecture, data architecture, or pre-sales, with at least 4 years designing enterprise data platforms and analytics solutions.
• Deep, hands-on architectural expertise in at least two of: Databricks, BigQuery, Redshift, Microsoft Fabric.
• Expertise in workload sizing, cost modeling, and migration strategy.
• Experience designing and presenting end-to-end enterprise solutions using cloud platforms like AWS, Azure, and GCP.
• Proven design experience with batch and streaming pipelines using tools such as dbt, Airflow, Fivetran, Spark, Kafka, Kinesis, Flink, or equivalents.
• Working knowledge of lakehouse and data mesh principles, open table formats (Delta, Iceberg, Hudi), and trade-offs between centralized and federated data architectures.
• Practical experience designing AI/ML and GenAI data foundations including feature stores, vector databases, RAG pipelines, embedding strategies, and MLOps integration points.
• Skilled at delivering secure, reliable, and scalable solutions.
• Comfortable working closely with engineering, business teams, and cloud channel partners.
• Experienced in requirements gathering, RFP/RFI responses, and delivering technical presentations to executive and technical stakeholders.
• Strong communication and interpersonal skills.
• Willingness to travel up to 30% for client workshops and engagements.

Lead Data-Centric Discovery:

• Run technical discovery focused on data estates, source systems, latency and quality requirements, analytics maturity, and AI readiness.
• Translate findings into target-state architectures.

Design Modern Data Platforms:

• Produce reference architectures spanning ingestion, storage, transformation, semantic, and consumption layers on platforms like Snowflake, Databricks, BigQuery, Redshift, or Microsoft Fabric.
• Include lakehouse, medallion, data mesh, and event-driven patterns.

Architect for AI:

• Design feature stores, vector stores, retrieval pipelines, and ML/LLM data foundations for production GenAI and predictive use cases.

Build Credible PoCs:

• Scope and deliver high-signal proofs around data migration, real-time pipelines, governed self-service analytics, or RAG/agentic patterns.

Own the Technical Narrative:

• Lead RFx responses, SOWs, and proposals for data and AI opportunities.
• Include sizing, sequencing, and risk framing for multi-phase modernization programs.

Be the Face of Innovation:

• Present at executive briefings, architecture deep dives, and solution workshops.
• Engage with data leaders and engineering audiences.

Govern by Design:

• Embed data governance, lineage, quality, and privacy (HIPAA, GDPR, CCPA, SOC 2) into every blueprint.

Lead and Mentor:

• Provide technical leadership across pre-sales and data practice.
• Partner with delivery leads on clean handoffs and uplift peers on modern data.