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
