Job Description :

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, DevOps 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 masters degree in computer science, Information Technology, Engineering, or a related field