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Job Description:
- Job Title:
Data Architect – Scala & Cloud Data Engineering
Experience:
13–18 Years
Location:
Bangalore / Hyderabad / Pune / Chennai / Kolkata / Gurgaon
Notice Period: Immediate to 30 Days
Role Overview
We are looking for an experienced Data Architect with strong expertise in Scala, Data Engineering, and Cloud Technologies (AWS/Azure/GCP) . The ideal candidate will be responsible for designing and implementing scalable, secure, and high-performance data platforms while providing architectural leadership for enterprise data transformation initiatives.
Key Responsibilities
Architect and design enterprise-scale data platforms and data solutions on any major cloud platform (AWS, Azure, or GCP).
Lead the design and implementation of large-scale batch and real-time data processing solutions using Scala and Apache Spark .
Define enterprise data architecture, data models, integration patterns, and governance frameworks.
Design and optimize Data Lakes, Data Warehouses, and Lakehouse architectures.
Develop scalable ETL/ELT pipelines for processing large volumes of structured and unstructured data.
Drive cloud migration and modernization initiatives from legacy and on-premises systems.
Collaborate with business stakeholders and technical teams to translate business requirements into scalable technical solutions.
Establish best practices for data quality, security, governance, monitoring, and performance optimization.
Provide technical leadership, mentoring, and architectural guidance to engineering teams.
Evaluate emerging technologies and recommend solutions that improve scalability, reliability, and efficiency.
Required Skills & Experience
Technical Skills
14+ years of overall IT experience with strong Data Engineering background.
3+ years of experience in Data Architecture or Solution Architecture roles.
Strong hands-on expertise in Scala programming.
Extensive experience with Apache Spark (Scala) .
Experience working on at least one major cloud platform ( AWS, Azure, or GCP ).
Strong expertise in building and optimizing ETL/ELT pipelines.
Experience with real-time and streaming data processing.
Strong SQL and data modeling skills.
Experience with Data Lakes, Data Warehouses, and modern analytics platforms.
Knowledge of Kafka, Airflow, Databricks, or similar data ecosystem tools.
Experience with CI/CD, Dev Ops practices, and Infrastructure as Code (Terraform preferred).
Familiarity with Docker and Kubernetes is a plus.
Architecture & Leadership Skills
Experience designing enterprise-wide data architectures and cloud strategies.
Ability to create High-Level Design (HLD) and Low-Level Design (LLD) documents.
Strong stakeholder management and client-facing communication skills.
Experience leading large-scale data engineering teams and cloud transformation programs.
Strong analytical and problem-solving abilities.
Preferred Qualifications
Experience in AWS, Azure, or GCP cloud-native data services.
Cloud certifications (AWS, Azure, or GCP) preferred.
Experience with modern Data Lakehouse architectures.
Exposure to AI/ML data platforms and advanced analytics solutions.
Education
Bachelor's or master’s degree in computer science, Information Technology, Engineering, or a related field
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