Resident Solution Architect - Databricks

BigTapp Analytics; Chennai District; On-site; INR 1,800,000 - 2,500,000; Full time

Benefits offered by this job

Competitive salary

Annual performance-based bonuses

Comprehensive health and optional parental insurance

Optional retirement savings plans

Job summary

BigTapp Analytics is seeking a Resident Solutions Architect (RSA) to join their team in Chennai. This role focuses on designing and delivering scalable applications and AI-driven solutions on the Databricks platform. Candidates should have 8–12 years of experience in software engineering and solution architecture, with strong skills in full-stack development, AI/ML integration, and cloud-native applications. An attractive compensation package and benefits are offered, including performance bonuses and health insurance.

Qualifications

• 8–12 years of experience in software engineering and solution architecture.
• Strong stakeholder management and customer-facing experience.
• Experience delivering production-grade enterprise applications.

Responsibilities

• Lead architecture and design decisions for enterprise applications.
• Develop full-stack applications leveraging Databricks and cloud technologies.
• Work directly with customer teams to translate business challenges into technical solutions.

Skills

Fullstack Application Development

Software Architecture & System Design

Databricks Platform

Data Engineering & AI Integration

Python

SQL

Java / Scala

JavaScript / TypeScript

Backend APIs

Frontend applications

Enterprise integrations

OpenAI

Anthropic

Gemini APIs

Education

Bachelor’s or Master’s degree in Computer Science

Bachelor’s or Master’s degree in Software Engineering

Bachelor’s or Master’s degree in Data Engineering

Bachelor’s or Master’s degree in Related field

Tools

Databricks

Cloud Platforms (AWS / Azure / GCP)

REST APIs

Microservices Architecture

Job description

• Data Engineering & AI Integration
• Backend APIs
• Field Engineering
• Data Engineering

Job Description – Resident Solutions Architect (RSA) - Databricks

Location: Chennai / Hyderabad / Bangalore

Experience: 8–12 Years

Job Summary

We are seeking an experienced Resident Solutions Architect (RSA) to work directly with strategic enterprise customers and design, develop, and deliver scalable full‑stack applications and AI‑driven solutions on the Databricks Data Intelligence Platform. This highly hands‑on, customer‑facing role requires strong expertise in software engineering, data engineering, AI/ML integration, and cloud‑native application development. The ideal candidate will combine deep technical expertise with strong stakeholder engagement skills to build enterprise‑grade solutions that drive measurable business outcomes.

Mandatory Skills

• Strong experience in:
  • Fullstack Application Development
  • Software Architecture & System Design
  • Databricks Platform
  • Data Engineering & AI Integration
• Proficiency in:
  • Python
  • SQL
  • Java / Scala
  • JavaScript / TypeScript
• Hands‑on experience building:
  • Backend APIs
  • Frontend applications
  • Enterprise integrations
• Experience integrating AI/ML solutions using:
  • OpenAI
  • Anthropic
  • Gemini APIs
• Experience delivering:
  • Production‑grade enterprise applications
  • AI‑enabled solutions
  • Cloud‑native architectures
• Strong stakeholder management and customer‑facing experience

Key Responsibilities

Solution Architecture

• Lead architecture and design decisions for enterprise applications and AI‑driven solutions
• Design secure, scalable, and high‑performance systems aligned with customer requirements and best practices

Application Engineering

• Develop full‑stack applications including:
• Backend services
• Frontend interfaces
• API integrations
• Build scalable enterprise applications leveraging Databricks and cloud technologies

Data & AI Solution Delivery

• Design and implement:
• Data pipelines
• Data transformations
• AI/ML integrations
• Integrate LLMs and AI APIs into enterprise applications

Customer Engagement

• Work directly with customer teams and stakeholders
• Understand business challenges and translate them into technical solutions
• Present architecture, solution design, and technical recommendations to leadership teams

Cross‑Functional Collaboration

• Collaborate with:
• Sales teams
• Product teams
• Field Engineering
• Ensure smooth delivery from pre‑sales through implementation and deployment

Reusable Assets & Innovation

• Build reusable frameworks, accelerators, and solution templates
• Contribute to best practices and influence future solution patterns

Qualification

• Bachelor’s or Master’s degree in:
  • Computer Science
  • Software Engineering
  • Data Engineering
  • Related field

Technical Skills

Programming Languages

• Python
• SQL
• Java / Scala
• JavaScript / TypeScript

Platforms & Technologies

• Databricks
• Cloud Platforms (AWS / Azure / GCP)
• REST APIs
• Microservices Architecture

AI & Data Engineering

• AI/ML model integration
• OpenAI / Anthropic / Gemini APIs
• ETL / ELT Pipelines
• Data Engineering & Analytics

Frontend / Backend

• Modern frontend frameworks
• Backend service development
• Systems integration

Soft Skills

• Strong customer‑facing communication skills
• Excellent problem‑solving and analytical thinking
• Ability to translate complex technical concepts into business outcomes
• Strong collaboration and leadership abilities
• Adaptability and continuous learning mindset

Good to Have

• Experience with:
  • Generative AI applications
  • MLOps & AI deployment frameworks
  • DevOps / CI‑CD pipelines
  • Enterprise SaaS applications
• Exposure to:
  • Solution consulting
  • Pre‑sales architecture discussions
  • Multi‑cloud enterprise environments

Work Experience

• 8–12 years of experience in:
• Software Engineering
• Solution Architecture
• Fullstack Development
• Enterprise Data & AI platforms
• Proven experience delivering customer‑facing enterprise solutions

Compensation & Benefits

• Competitive salary and annual performance‑based bonuses
• Comprehensive health and optional Parental insurance
• Optional retirement savings plans and tax savings plans

KRA (Key Result Areas)

• Successful delivery of enterprise AI and full‑stack solutions
• Scalable and secure solution architecture implementation
• Strong customer satisfaction and adoption
• Development of reusable solution accelerators and frameworks

KPI (Key Performance Indicators)

• Successful deployment of customer solutions
• Customer satisfaction and business impact metrics
• Application performance and scalability improvements
• Reduction in delivery timelines through reusable assets
• Stakeholder and executive feedback scores