Solution Architect

Experience

8+ Years(with minimum 2 years in Data/AI solution architecture roles)

Joining Date

Immediate or max 30 days' Notice Period

Qualification

Bachelor's/Master's in Computer Science, Data Engineering, or other related fields

We are looking for an experienced, hands-on Solution Architect (Data and AI) to lead the architecture, design, and delivery of advanced Data and AI solutions for enterprise clients across industries. The role combines technical leadership,strategic consulting, and solution design, ensuring our clients derive measurable business value from their data investments. You will act as a trusted advisor to clients, guide technical teams, and architect best-in-class solutions that leverage the latest in cloud, data, and AI innovation.

Solution Design & Architecture

Design end-to-end data and AI architectures across ingestion, transformation, storage, analytics, and ML layers.

Build scalable, cloud-native ecosystems using Azure, Snowflake, and open-source frameworks (Spark, Airflow, Kafka).

Define architecture blueprints, data models, and governance-aligned integration patterns.

Develop AI/ML platforms with MLOps, monitoring, and responsible AI principles.

Technical Leadership

Lead architecture discussions, design reviews, and guide data/ML teams through delivery.

Drive modern data engineering practices (CI/CD, IaC, DevOps).

Evaluate and recommend emerging technologies for enterprise solutions.

Client Consulting & Engagement

Translate business needs into scalable data-driven solutions.

Support pre-sales, RFPs, and executive-level presentations.

Advise on data strategy, architecture roadmaps, and AI adoption frameworks.

Delivery & Governance

Ensure architectural integrity, scalability, and compliance with data privacy standards.

Define best practices, reusable assets, and mentoring frameworks for internal teams.

• Proficient in end-to-end AI architecture (data prep to deployment) with MLOps.
• Expertise in LLMs, GenAI models, and AI agents using Azure OpenAI, LangChain, and Semantic Kernel.
• Experience with RAG pipelines, vector databases, and governance frameworks.
• Hands-on expertise in Azure Synapse, Data Factory, Databricks, Purview, and Machine Learning.
• Experience with Azure OpenAI, Cognitive Services, and Microsoft Fabric.
• Efficiency in data lakehouse design, Snowpark, Streamlit, and optimization for large-scale analytics.
• Skilled in automation using dbt, Airflow, and Terraform.
• Proficiency in Spark, Kafka, Airflow, Hadoop, dbt, and Delta Lake.
• Strong programming skills in Python, SQL, and Scala.
• Experience with API/microservice-based data integration.
• Expertise in CI/CD with Azure DevOps, GitHub Actions, Terraform, Docker, and Kubernetes.
• Proven client-facing and advisory consulting experience.
• Strong analytical, communication, and stakeholder management skills.
• Ability to lead multi-disciplinary teams in dynamic project environments.
• Bachelor's/Master's in Computer Science, Data Engineering, or other related fields.
• Minimum 8 years of total experience, with at least 2 years in Data/AI solution architecture roles.
• Preferred certifications: Azure Solutions Architect Expert, Data Engineer Associate, SnowPro Core, Advanced Architect, and TOGAF (optional).

Comprehensive Health Plans

Learning and development

Workation and outdoor training

Hybrid working environment

On-site travel Opportunity

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