GCP Data Architect

Tata Consultancy Services (TCS); Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Tata Consultancy Services (TCS) in Singapore is seeking a senior data architecture expert to lead enterprise data modernization on Google Cloud Platform. You will define strategic data platforms, evaluate cloud services, and design scalable pipelines while collaborating with global teams to promote best practices in data governance and AI/ML.

The role requires hands-on experience with SQL, Databricks, BigQuery, PySpark and programming in Python/Java, with travel to client sites averaging around

Qualifications

• 12+ years of experience working in Enterprise Data Warehouse technologies.
• Certifications: Google Cloud Certified Professional Cloud Architect/Professional Data Engineer.
• Preferred: Google Cloud Professional ML Engineer and other cloud data/AIML certs.
• Hands-on with data lakes, data warehouse architectures, and hybrid data architectures on Google Cloud and others.
• Experience with structured and unstructured data, batch and streaming processing.
• Knowledge of data governance, metadata management, ingestion, visualization, quality and security.

Responsibilities

• Define enterprise data modernization and transformation solution on Google Cloud and adoption strategy.
• Architect cloud data strategy and platform aligned with business objectives.
• Evaluate Google Cloud native services and other technologies; recommend best fit.
• Collaborate across geographies to build and evangelize data architecture and AI/ML best practices.
• Architect end-to-end solutions based on customer requirements; ensure fit-for-purpose deployment.
• Design scalable data architectures, pipelines that are interoperable and continuously learning.
• Travel to assigned customers engagements (average 50%).

Skills

Data warehouse architectures

Google Cloud Platform

Databricks

BigQuery

Unity Catalog

PySpark

SQL

Python

Java

Tools

Google Cloud

BigQuery

Databricks

PySpark

SQL

Python

Java

Job description

Responsibilities

• Responsible for defining enterprise level Data modernization & transformation solution on Google Cloud Platform and adoption strategy for customers
• Architecture and solution design of cloud data strategy and platform aligned with the business objectives
• Responsible for evaluating the google cloud native services and other technologies for our customer needs and recommending the best fit for them aligning to their future vision and strategy
• Work collaboratively with various teams across geographies and contribute to build, evangelize data architecture & AI/ML best practices, re-usable assets and solutions
• Based on Customer specific requirements and use cases, architect solutions and end to end ownership of iterating and ensuring the solutions are deployed and fit for purpose
• Design and streamline enterprise data architectures and pipelines and architect solutions which are intuitive, interoperable, extensible, scalable and are continuously learning and improving
• Expected to travel to assigned customers/engagements(average 50%)

Qualifications

• 12+ years of experience working in Enterprise Data Warehouse technologies
• Minimum needed certifications: Google Cloud Certified Professional Cloud Architect/Google Cloud Certified Professional Data Engineer
• Preferred additional certifications: Google Cloud Professional ML Engineer, Other Cloud (AWS/Azure) Data & AI/ML related certifications
• Solid in-depth hands-on experience and understanding of data lakes and data warehouse architectures,
• designs, implementations and hybrid data architectures on Google cloud, other clouds and migration of on-prem to cloud
• Experience in handling structured and unstructured data from many sources and deep knowledge about batch and streaming data processing methods
• Solid understanding of data virtualization, data catalogues, metadata management, data ingestion, data visualization, data governance, security and data quality management frameworks, tools and evolving technology landscape
• Deep experience in implementing enterprise data lake or data house modernization programs
• Customer facing migration & modernization experience, including discovery, assessment, planning, design, implementation and Data& ML Ops
• Extensive hands on experience with SQL, Databricks, Unity Catalog, BigQuery, PySpark
• Experience with building software code in one or more languages such as Java, Python and SQL
• Deep understanding and working experience on advanced analytics, AI algorithms and Machine Learning techniques
• Work experience with geographically distributed teams and off-shore models
• Excellent verbal and written communication skills, facilitation and presentation skills
• Ability to interact professionally with a diverse group of stakeholders (senior executives, operations, customer service & partners)
• Enjoys working in an autonomous, dynamic, and challenging environment.
• Team player who enjoys fluidity, change, and flexible working arrangements
• Self-starter & a team player who enjoys fluidity, change, and flexible working arrangements, wants to get involved, make a difference, enjoys working in a dynamic, and fast paced environment