Pre-Sales Solution Architect

Location: WFO-Motivity Labs-Hyderabad Job Type: Full-time Experience Level: 10+ years Industry: IT Services, Consulting, Enterprise Data & AI Solutions Role Overview: As a Pre-Sales Solution Architect – Data & Analytics, you will play a pivotal role in shaping data-driven solutions for enterprise clients. You will leverage your deep expertise in modern data platforms, Generative AI, and Traditional AI to craft cloud-agnostic solutions that drive business transformation. You will be responsible for engaging with customers, understanding their pain points, and designing scalable and future-proof data & AI architectures across AWS, Azure, and GCP. Key Responsibilities: Pre-Sales & Solutioning:

• Collaborate with sales, engineering, and business teams to drive pre-sales engagements for Data & AI solutions.
• Lead client discovery sessions, assess business needs, and align solutions with customer objectives.
• Architect modern data platforms for data modernization, analytics, and AI/ML workloads across multi-cloud environments.
• Design solutions integrating Gen AI, LLMs, RAG, NLP, and Computer Vision with traditional AI/ML models.
• Create compelling proposals, PoCs, demos, and technical collateral for client engagements.
• Present technical solutions to C-level executives, IT leaders, and business stakeholders.

Data & AI Architecture Expertise:

• Architect cloud-agnostic data platforms on AWS, Azure, and GCP, leveraging:Data Lakes & Warehouses: Snowflake, BigQuery, Databricks, Synapse, Redshift.
• ETL & Data Integration: dbt, Apache Airflow, Azure Data Factory, Glue, Dataflow.
• AI & ML: Vertex AI, Azure ML, Sagemaker, MLflow, LangChain, OpenAI API.
• Gen AI & LLMs: RAG-based architectures, vector databases (Pinecone, ChromaDB, FAISS).
• Streaming & Event-driven Architectures: Kafka, Kinesis, Event Hub.
• Data Governance & Security: IAM, RBAC, Purview, Data Catalogs, Data Mesh principles.

Thought Leadership & Market Trends:

• Stay ahead of industry trends in Data & AI, cloud technologies, and platform modernization.
• Conduct workshops, webinars, and technical deep dives for customers and internal teams.
• Collaborate with marketing teams to create whitepapers, blogs, and case studies on AI-driven data solutions.

Sales Enablement & GTM Strategy:

• Define go-to-market (GTM) strategies for Data & AI offerings.
• Work with account teams to identify & qualify new opportunities and contribute to revenue growth.
• Support RFP responses, pricing strategies, and competitive differentiation.

Key Qualifications & Skills: Technical Skills: ✅ Cloud Expertise (Multi-cloud, Cloud-native solutions): AWS, Azure, GCP. ✅ Data & AI Engineering: Data pipelines, ETL, real-time processing, MLops, AI workflows. ✅ Gen AI & LLMs: LangChain, OpenAI, Hugging Face, Fine-tuning models, Vector DBs. ✅ Database & Storage: Snowflake, BigQuery, Delta Lake, NoSQL (CosmosDB, DynamoDB). ✅ DevOps & Automation: Terraform, CI/CD, Kubernetes, Serverless computing. ✅ Security & Compliance: Data encryption, GDPR, HIPAA, SOC2, access controls. Soft Skills: ✔ Strong pre-sales & consultative approach with the ability to convert business needs into technical solutions. ✔ Excellent presentation & communication skills to engage senior stakeholders. ✔ Ability to work in a fast-paced, customer-focused environment with strong problem-solving skills. ✔ Strong collaboration with cross-functional teams including sales, product, and delivery. Preferred Qualifications: 🎯 10+ years of experience in Data & AI architecture, solutioning, and pre-sales. 🎯 Deep expertise in modernizing legacy data platforms to cloud-native solutions. 🎯 Prior experience in IT services, consulting, or enterprise architecture roles. 🎯 Experience with RFP responses, PoCs, and technical solutioning for enterprise clients. Why Join Us?

• Opportunity to work on cutting-edge AI-driven data solutions in a cloud-agnostic environment.
• Be a trusted advisor to enterprise clients, shaping their Data & AI transformation journey.

Competitive compensation, career growth, and a chance to work with a talented team. 📩 Please share your references to Talent@motivitylabs.com / referrals@motivitylabs.com

Skills

• Go
• Snowflake
• Databricks
• Kafka
• Airflow
• dbt
• AWS
• Azure
• GCP
• Kubernetes