Senior Data Architect - GCP

Title: Senior Data Architect - GCP

Location: Chennai, TN ( Hybrid )

Key Responsibilities:

The role requires a strong focus on engaging with clients and showcasing thought leadership. The ideal candidate will be skilled in developing insightful content and presenting it effectively to diverse audiences

Cloud Architecture & Design:

• Understand customers’ overall data platform, business and IT priorities and success measures to design data solutions that drive business value.

• Architect, develop and implement robust, scalable and secure end-to-end data engineering, integration and warehousing solutions in GCP platform.

• Assess and validate non-functional attributes and build solutions that exhibit high levels of performance, security, scalability, maintainability, and reliability.

Technical Leadership:

• Guide technical teams in best practices on cloud adoption, migration and application

modernization and provide thought leadership and insights into emerging GCP services.

• Ensure long term technical viability and optimization of cloud deployments by identifying and resolving bottlenecks proactively thereby ensuring high availability and efficient resource utilization.

• Collaborate with teams to assess the effort and feasibility of proposed solutions, leveraging technical expertise to predict potential challenges and variances.

Stakeholder Collaboration:

• Work closely with business leaders, developers, and operations teams to ensure alignment of technological solutions with business goals.

• Work with prospective and existing customers to implement POCs/MVPs and guide through to deployment, operationalization, and troubleshooting.

• Identify, communicate, and mitigate the assumptions, issues, and risks that occur throughout the project lifecycle.

• Ability to judge and strike a balance between what is strategically logical and what can be

accomplished realistically.

Innovation and Continuous Improvement:

• Stay updated with the latest advancements in GCP services and tools.

• Implement innovative solutions to improve data processing, storage, and analytics efficiency. • Identify opportunities to enhance existing data engineering processes using AI and machine learning tools.

Documentation:

• Create comprehensive blueprints, architectural diagrams, technical collaterals, assets and implementation plans for GCP-based solutions.

Required Qualifications:

Education:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

Experience:

• Minimum of 8-10 years in architecture roles, including at least 3-5 years working with GCP.

Technical Expertise:

• Strong proficiency in GCP data warehousing & engineering services (BigQuery, DataProc,

CloudFusion, Composer, etc.), containerization (Kubernetes, Docker), API-based microservices architecture, CI/CD pipelines, and infrastructure-as-code tools like Terraform.

• Strong proficiency in data modelling, ETL/ELT, data integration data warehousing concepts.

• Proficiency in architectural best practices in cloud around user management, data privacy, data security, performance and other non-functional requirements.

• Programming skills in languages such as PySpark, Python, Java, or Scala.

• Familiarity with building AI/ML models on cloud solutions built in GCP.

Soft Skills:

• Strong analytical, problem-solving and troubleshooting skills.

• Excellent communication and ability to mentor and inspire teams.

• Strong leadership abilities with experience managing cross-functional teams.

Preferred Skills:

• Solution architect and/or data engineer certifications from GCP.

• Experience with BFSI or Healthcare or Retail domain.

• Experience with hybrid cloud environments and multi-cloud strategies.

• Experience with data governance principles, data privacy and security.

• Experience with data visualization tools like Power BI or Tableau.