Data Architect

United HR Solutions Pvt. Ltd.; India; In loco; INR 550.000 - 900.000; Tempo pieno

Descrizione del lavoro

United HR Solutions Pvt. Ltd. seeks a seasoned Solution Architect to lead enterprise Databricks deployments, designing data and AI platforms across AWS, Azure, and GCP. You will guide end-to-end delivery, drive architecture workshops, and translate business needs into scalable technical solutions.

The role demands 10+ years in consulting with strong data engineering, Databricks expertise, and customer-facing leadership to ensure scalable, secure, and high-performance implementations.

Competenze

• Bachelor's in CS/Engineering; Master’s preferred.
• Databricks Data Engineer Professional Certification required.
• 10+ years IT consulting and tech experience.
• 7+ years in data engineering or analytics.
• 6–8 enterprise Databricks implementations in production.

Mansioni

• Lead enterprise-scale Data & AI solutions on Databricks Lakehouse Platform.
• Architect scalable data platforms across AWS, Azure, and/or GCP.
• Define end-to-end solution architecture aligned with business and technical goals.
• Lead architecture workshops and translate business challenges into scalable tech solutions.
• Ensure delivery quality, timelines, and customer satisfaction.

Conoscenze

Databricks

Data Engineering

Cloud Architecture

Consulting

Solution Architecture

Enterprise Delivery

CI/CD

MLOps

Distributed Data

AWs/Azure/GCP

Formazione

Bachelor's degree in CS/Engineering

Master's degree preferred

Databricks Data Engineer Professional Certification

Cloud certifications (AWS/Azure/GCP) desirable

Strumenti

Databricks

Delta Lake

Terraform

CI/CD

AWS

Azure

GCP

Descrizione del lavoro

Our client is a boutique Analytical Consulting firm with offices in India, Singapore & UK.

About the Role

Key Responsibilities

SOLUTION ARCHITECTURE & DESIGN

• Design and lead enterprise-scale Data & AI solutions on the Databricks Lakehouse Platform.
• Architect scalable, secure, and high-performance data platforms across AWS, Azure, and/orGCP.
• Define end-to-end solution architecture, ensuring alignment with business and technical objectives.
• Recommend best practices for data engineering, governance, security, and platform modernization.

DATA ENGINEERING & PLATFORM EXCELLENCE

• Develop and optimize enterprise data pipelines using Apache Spark and Databricks.
• Build scalable ETL/ELT frameworks using Delta Lake and modern data engineering practices.
• Apply deep understanding of Spark architecture, execution plans, and runtime optimization.
• Drive platform performance tuning, cost optimization, and workload scalability.

ENTERPRISE DELIVERY & IMPLEMENTATION

• Lead end-to-end delivery of enterprise Databricks implementations from discovery through production deployment.
• Successfully deliver large-scale production workloads with a focus on scalability, reliability, and performance.
• Solve complex production challenges involving distributed data processing, platform optimization, and cloud-nativearchitectures.
• Ensure successful delivery within agreed timelines, quality standards, and customer expectations

CLOUD & MODERN DATA PLATFORM

• Design and implement cloud-native data solutions across AWS, Azure, and GCP.
• Collaborate with platform engineering teams to implement CI/CD pipelines and deployment automation.
• Apply Infrastructure-as-Code and DevOps best practices where applicable.
• Support enterprise MLOps implementation and integration with modern AI workflows.

CUSTOMER ENGAGEMENT & CONSULTING

• .Lead architecture workshops, technical discovery sessions, and executive presentations.
• Partner with customers to understand business challenges and translate them into scalable technical solutions.
• Provide technical leadership throughout implementation and post-productionsupport.
• Build trusted advisor relationships with business and technology stakeholders.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline.
• Master's degree preferred.
• Databricks Data Engineer Professional Certification (Mandatory).
• Additional cloud certifications (AWS, Azure, orGCP) are highly desirable.

Required Skills

• 10+ years of consulting and technology experience.
• Minimum 7+ years in Data Engineering, Data Platforms, or Analytics.
• Minimum 6-8 enterprise Databricks implementations delivered in production environments.
• Hands-on enterprise delivery experience is mandatory.
• Experience designing and deploying large-scale distributed data platforms.
• Strong customer-facing consulting and solution architecture experience.
• Experience working with global enterprise customers across multiple industries.