Solution Architect-Data & AI Platforms Engineering

• Architect and solution modern data & AI platforms.
• Lead presales, proposals, and solution development across verticals.
• Respond to RFPs, lead proposal defenses, and anchor technical solutioning.
• Drive solution roadmaps based on market and technology trends.
• Conduct client discovery sessions and design technical blueprints.
• Build solution offerings, use cases, POVs, and technical content.
• Develop the partner ecosystem and represent the practice in industry forums.
• Mentor and upskill project teams in core tech areas.

• Blueprint and plan complex data engineering programs.
• Drive pilots, PoCs, and innovation-led engagements.
• Manage scope, effort estimates, commercials, and stakeholder relationships.
• Validate technical outcomes and recommend improvements.

• 14+ years of experience, with at least 5 years in solutioning and presales.
• Proven experience in modern data architectures on AWS or GCP: data mesh, fabric, unified platforms, operational/AI data systems.
• Hands-on presales exposure in product engineering service lines or startups.
• Domain exposure: Manufacturing, Hi-Tech, ISVs, Automotive, ENU, Communications, BFSI.
• Expertise in unstructured data processing, vectorization, chatbot integration, and graph technologies.
• Strong knowledge of solution architecture, data modeling, and ontology.
• Hands-on with data governance (catalogs, lineage, quality).
• Proven experience across hybrid landscapes integrating OT, ET, unstructured, and time-series data.
• Familiarity with tools and technologies across:
• Graph DBs: AWS Neptune, Neo4j, Apache Gremlin, JanusGraph, ArangoDB
• Vector DBs: Pinecone, Milvus, Chroma, Google AlloyDB
• Big Data: AWS Redshift, GCP BigQuery, Databricks, Delta Lake, NoSQL (DynamoDB, Cassandra, HBase)
• Pipelines: AWS EMR, Glue, Kinesis, Step Functions, GCP Dataflow, Pub/Sub, Spark
• Governance Tools: AWS Glue Crawler, Google Data Catalog, Apache Atlas, OpenLineage

Expertia AI Technologies