Databricks architect

Bristlecone; Pune District, Gurugram District, Bengaluru; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Bristlecone seeks an experienced Data & AI Architect to lead the design and delivery of AI-first data solutions using Azure Databricks, Lakehouse, Lakebase, Databricks Genie, and Azure AI services. The role blends enterprise data architecture with hands-on technical leadership, solutioning, and delivery leadership across large data modernization initiatives in Pune.

You will translate business requirements into scalable cloud architectures and mentor teams to accelerate value from data

Qualifications

• 12+ years of experience in software/solution engineering with a focus on architectural leadership.
• Strong communication, stakeholder management, and team leadership skills.
• Bachelor's degree in computer science or related field (or equivalent).
• Relevant certifications are a plus.

Responsibilities

• Lead end-to-end delivery of Databricks Lakehouse, AI, and data modernization projects.
• Translate business requirements into scalable Azure, Databricks, Lakehouse, and AI solutions.
• Drive engineering excellence through reusable components and accelerators.
• Act as technical advisor to clients and internal stakeholders.
• Provide pre-sales and delivery guidance, including estimations and risk mitigation.

Skills

Leadership & delivery

Azure Databricks

Enterprise data architecture

Stakeholder management

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

Azure Databricks

Delta Lake

Databricks Lakehouse

Databricks Genie

Azure AI services

Job description

Job Description

Overview

We are seeking an experienced Data & AI Architect to lead the design and delivery of modern, AI-first data solutions using Azure Databricks, Lakehouse, Lakebase, Databricks Genie, and Azure AI services. The role combines enterprise data architecture, hands-on technical leadership, AI-first engineering, solutioning, and delivery leadership across complex data modernization initiatives.

Responsibilities

AI-First Delivery Leadership

• Embed AI-first mindset into delivery workflows, leveraging automation and intelligent orchestration where applicable.
• Lead end-to-end delivery of complex Databricks Lakehouse, AI, and data modernization projects.
• Drive engineering excellence through reusable components, accelerators, and scalable Azure Databricks Lakehouse architecture.
• Act as a technical point of contact for clients, translating business requirements into scalable Azure, Databricks, Lakehouse, and AI solutions.
• Lead technical solutioning, estimations, and support architecture design during pre-sales and delivery shaping.

Qualifications

Qualifications & Preferred Skills

• 12+ years of experience in software/solution engineering, with at least 3-4 years as Architect and Delivery leadership roles.
• Excellent communication, stakeholder management, problem-solving, and team leadership skills.
• Bachelors degree in computer science, Engineering, or related field (or equivalent experience).
• Relevant certifications are a plus.

Areas of Expertise

Enterprise Data Architecture & Modern Platforms

• Drive and influence architectural decisions for modern Lakehouse platforms, providing hands-on delivery leadership across Azure Databricks and Azure.
• Design and implement scalable Databricks Lakehouse architectures supporting enterprise data engineering, analytics, AI, and governed self-service.
• Lead architecture and adoption of Databricks Lakebase for operational and application-oriented data workloads where applicable.

Data Engineering & Large Scale Data Processing

• Hands‑on leadership in designing, building, and operating large-scale batch and streaming data pipelines using Apache Spark, Azure Databricks, Delta Lake, and Azure.
• Lead and perform performance assessments, compute sizing, partition strategies and concurrency management.
• Drive implementation of scalable Lakehouse medallion architectures, data pipelines, and governed data products using Databricks and Azure.

AI First Data Engineering & Unify Your Data

• Design and implement agentic AI workflows that assist in data discovery, preparation, profiling, validation, and performance optimization.
• Actively adopt and promote use large language models to automate data engineering tasks such as schema inference, pipeline generation, metadata enrichment, documentation, and tuning recommendations.
• Lead AI powered data wrangling solutions, while maintaining governance, explainability, and human in the loop controls.

AI & Advanced Analytics Enablement

• Design, lead to implement, and optimize solutions using AI Agents where viable using Databricks Genie, Azure AI services, and Databricks Lakehouse capabilities.
• Lead adoption of Databricks Genie to enable governed natural-language access to enterprise data and analytics.
• Ensure AI and analytics solutions are grounded help improving trust, explainability, and relevance of AI outputs.
• Balance governance, performance, and usability by implementing governance by default patterns that scale self-service access without introducing friction.

Solutioning, Pre-Sales & Technical Leadership

• Lead technical solutioning, estimations, and support architecture design during pre-sales and delivery shaping.
• Translate business outcomes into clear Azure Databricks, Lakehouse, Lakebase, Genie, and AI architecture, execution plans, and risk mitigation strategies.
• Act as a trusted advisor to clients and internal leadership.
• Role & responsibilities