Solution Architect – Data & AI

TechWise Digital; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

TechWise Digital is seeking a senior Data Engineering/AI Architecture professional to design end-to-end Data and AI solutions, aligning with business and technology objectives. The role requires hands-on expertise in data lakes, data warehouses, lakehouse architectures, and big data platforms, with strong Python, SQL, Spark, and cloud experience.

You will lead architecture reviews, govern best practices, mentor teams, and collaborate with stakeholders to translate requirements into scalable,

Qualifications

• 8+ years of experience in Data Engineering, AI/ML, and Solution Architecture.

Responsibilities

• Design end-to-end Data & AI solutions aligned with business and technology objectives.
• Lead architecture reviews, technology selection, governance, and best practices.
• Mentor engineering teams and ensure successful implementation of enterprise-scale solutions.
• Experience with MLOps, CI/CD, DevOps, API integrations, and microservices is preferred.
• Excellent stakeholder management, communication, and client-facing consulting skills.

Skills

Data engineering

AI/ML

Solution architecture

Python

SQL

Apache Spark

Databricks

Kafka

Airflow

MLOps

CI/CD

DevOps

API integrations

Microservices

Stakeholder management

Tools

Databricks

Kafka

Airflow

Job description

• 8+ years of experience in Data Engineering, AI/ML, and Solution Architecture.
• Design end-to-end Data & AI solutions aligned with business and technology objectives.
• Strong expertise in Data Lakes, Data Warehouses, Lakehouse architecture, ETL/ELT, and Big Data platforms.
• Hands-on experience with Azure, AWS, or GCP cloud platforms.
• Experience with Generative AI, LLMs, RAG, AI Agents, Prompt Engineering, LangChain/LangGraph, and AI solution design.
• Strong knowledge of Python, SQL, Apache Spark, Databricks, Kafka, Airflow, and modern data engineering frameworks.
• Design scalable, secure, and high-performance data platforms and AI applications.
• Work closely with business stakeholders to gather requirements and translate them into technical architectures.
• Lead architecture reviews, technology selection, governance, and best practices.
• Mentor engineering teams and ensure successful implementation of enterprise-scale solutions.
• Experience with MLOps, CI/CD, DevOps, API integrations, and microservices is preferred.
• Excellent stakeholder management, communication, and client-facing consulting skills.