Solution Architect-Data & AI Platforms Engineering
Solution Architect-Data & AI Platforms Engineering
43
Applications
Bengaluru
Full-Time
Executive: 13 to 23 years
Posted on Apr 01 2025
About the Job
Skills
AI Platforms
Data Engineering
Presales & Solutioning
Cloud Platforms
Solution Architect
Data Governance & Management
AI & Advanced Analytics
Graph Databases
We’re 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
About the company
Based on idea to build next Generation Organisation and data-driven employee Insights, deliver impact and create an inspired workforce.
We empower organisations via Technology Innovations and thus impact Talent Attraction, Employee Experience and Productivity. Our success is determined by ROI for the organisation and delta created in the HR Blueprint post our partnership. We create solutions th ...Show More
Based on idea to build next Generation Organisation and data-driven employee Insights, deliver impact and create an inspired workforce.
We empower organisations via Technology Innovations and thus impact Talent Attraction, Employee Experience and Productivity. Our success is determined by ROI for the organisation and delta created in the HR Blueprint post our partnership. We create solutions that are agile and cost effective based on organisation needs.
Shaping the new workforce - Customised Solutions based on Talent Strategy and Post Disruption. Customising solutions on organisational demands and budgets.
We specialise in Startups, Retail, Media and Hiring in product based organisations amongst other MNC and Management Consulting work! ...Show Less
Industry
Human Resources Services
Company Size
11-50 Employees
Headquarter
PAN India
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