Databricks Architect

Why Build Your Career at NICE?

At NICE, careers are built with intention combining cutting-edge

technology, continuous learning, and global exposure.

Impactful Innovation

Design and deliver enterprise-grade

Data Engineering, Analytics, BI

Reporting, and AI solutions that

power real-world decision

intelligence across industries.

Structured Career Growth

Role-based growth paths, certifications, leadership programs, and continuous upskilling.

Certification reimbursement programs

Planned progression, not guesswork

Global Client Exposure

Work with 100+ global clients across India, Middle East, USA, and beyond spanning BFSI, Retail, Media, Automotive, and Life Sciences.

On-Site & Consulting Opportunities

Gain hands-on exposure at client locations to strengthen consulting, communication, and solution architecture skills. Additionally, contribute to Centers of Excellence (CoEs) and innovation initiatives.

Empowered Work Culture

A collaborative, inclusive environment where ownership is encouraged and ideas are valued:

Mentorship from senior architects & practitioners

Flat, transparent communication

Rewards & Recognition

Spot awards, peer recognition, performance bonuses, and milestone celebrations that acknowledge impact—not just tenure.

A Vibrant Professional Community

Hackathons, CSR initiatives, sports, learning forums, and team celebrations that foster belonging and collaboration.

Perks & Benefits

Benefits That Support Your Professional and Personal Life

Fitness & wellness partnerships

Local restaurant & lifestyle tie-ups

Clearly defined career progression paths

Upskilling & Cross-skilling programs

Flexible Work Hours

Sustainable work–life balance

Health & accident insurance

Upskilling & Cross-skilling programs

Databricks Architect

• FullTime
• EXP : 10+ Years
• Pune, India

Job Summary

We are seeking an experienced Databricks Architect to lead the design, development, and implementation of modern data platforms using Databricks Lakehouse architecture. The ideal candidate will have strong expertise in cloud-based data engineering, big data technologies, and enterprise data modernization initiatives.

Key Responsibilities

• Design and implement scalable, secure, and high-performance data solutions using Databricks.
• Architect end-to-end data platforms leveraging Lakehouse architecture, Delta Lake, and Apache Spark.
• Lead data migration and modernization projects from legacy platforms to Databricks.
• Define data governance, security, metadata management, and data quality frameworks.
• Design and optimize batch and real-time data processing pipelines.
• Collaborate with business stakeholders, data engineers, analysts, and architects to translate business requirements into technical solutions.
• Establish best practices for data modeling, performance tuning, cost optimization, and platform scalability.
• Drive adoption of CI/CD, DevOps, Infrastructure as Code (IaC), and automation practices.
• Mentor engineering teams and provide technical leadership throughout project delivery.
• Support solution estimation, architecture reviews, and client discussions.

Required Skills &Experience:

• 10+ years of experience in Data Engineering, Data Warehousing, or Data Architecture.
• 4+ years of hands-on experience with Databricks.

Strong expertise in:

• Databricks Lakehouse Platform
• Apache Spark (PySpark/Scala)
• Delta Lake
• Spark SQL
• Data Modeling
• ETL/ELT Design Patterns

Experience with cloud platforms such as:

• Microsoft Azure (preferred)
• Strong knowledge of data warehousing concepts and modern data architectures.
• Experience designing and implementing large-scale data migration programs.
• Hands-on experience with orchestration tools such as Airflow, Azure Data Factory
• Experience with Git, CI/CD pipelines, and DevOps practices.
• Strong understanding of data security, governance, and compliance frameworks.

Preferred Qualifications

• Databricks Certified Data Engineer Professional or equivalent certification.
• Cloud certifications in Azure, AWS, or GCP.
• Experience with Unity Catalog, MLflow, and Databricks Workflows.
• Exposure to streaming technologies such as Kafka, Event Hubs, or Kinesis.
• Experience in customer-facing consulting or architecture roles.

Didn’t Find the Right Role?

We’re always looking for exceptional Data and AI Wizards!

Share your resume at [email protected]

and we’ll reach out when the right opportunity opens up.