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
Tata Consultancy Services is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 56 years. Its consulting-led, cognitive powered, portfolio of business, technology and engineering services and solutions is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development.
A part of the Tata group, India's largest multinational business group, TCS has over 601,000 of the world’s best-trained consultants in 55 countries. The company generated consolidated revenues of US $29 billion in the fiscal year ended March 31, 2024.
TCS' proactive stance on climate change and award-winning work with communities across the world have earned it a place in leading sustainability indices such as the MSCI Global Sustainability Index and the FTSE4Good Emerging Index.
At TCS, our values guide our decisions, shape our culture, and inspire us to achieve our shared vision. The TCS Values are integral to the TCS Way.
Leading Change: Embrace innovation and adapt rapidly to changes in technology and business, leading our organization and our customers to outperform and achieve sustainable growth.
Integrity: Be authentic, honest and transparent in all our interactions - building trust and credibility through all our actions.
Respect for Individual: Value the contribution of each and every team member - fostering a collaborative atmosphere, valuing diverse perspectives and ensuring that everyone feels welcome, as we strive and celebrate our success as a team.
Excellence: Be passionate in striving for the highest standards in everything we do, taking accountability for and exceeding the expectations of all our stakeholders.
Learning and Sharing: The world around us is changing rapidly and it is important to stay relevant. We will keep learning, seek new challenges, and take determined action to stay ahead and generously share our collective knowledge.