Solution Architect-Data

1 day ago

Bengaluru, India i4 Consulting: Reimagining HR Blueprints Full time

Were looking for an experienced Solution Architect to lead solutioning and presales activities in the Modern Data & AI Platforms space. This role involves driving proposals, customer engagements, technical leadership, and innovation for complex data engineering projects. Key Responsibilities A) Solutioning & Presales (80%) 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. B) Client Jumpstart & Innovation Projects (20%) 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. Required Skills & Experience 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

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