Cloud Data Architect

TATA Consulting Services•New York, NY

33d•$160,000 - $180,000

About The Position

Cloud Data Architect in Data & Analytics will play a key role in driving solution architecture design, evaluation, and selection, buy vs. build decisions, and early-phase project estimates which contribute to the business case. Partner with Key Roles (Business and Technology) to shape the Cloud Data & Analytics strategy, provide hands on guidance to convert the strategy to architecture and workable solutions that are aligned to architecture standards and principles, leverage common solutions and services, and meet the financial targets (costs and benefits) and actionable plan. Furthermore, shape large Data and Analytics opportunities for TCS. Prior experience in Banking Financial and Insurance is a must combined with strong articulation skills, strategic Thinking exposure, Leadership traits, Strong business acumen, Customer focus, and Social skills are essential. Must Have skills : Cloud Data Architect, Snowflake, demonstrate hands-On on Databricks (Delta Lake, Unity Catalogue), Five Tran, Atlan, DBT. On the data front a sound understanding of ETL / ELTL & ELT and Data Governance concepts including Data Quality, MDM, Lineage, Observability and metadata management. He should have sound knowledge of Data Architecture and Modeling and patterns therein. He should also have experience implementing at least one Data Governance tool such as Collibra, Atacama, Atlan, Fivetran, etc. He should also have good understanding of Data Products, Data Mesh, Data Fabric, Data vault and experience in implementing these concepts

Requirements

Cloud Data Architect
Snowflake
demonstrate hands-On on Databricks (Delta Lake, Unity Catalogue)
Five Tran
Atlan
DBT
sound understanding of ETL / ELTL & ELT and Data Governance concepts including Data Quality, MDM, Lineage, Observability and metadata management
sound knowledge of Data Architecture and Modeling and patterns therein
experience implementing at least one Data Governance tool such as Collibra, Atacama, Atlan, Fivetran, etc.
good understanding of Data Products, Data Mesh, Data Fabric, Data vault and experience in implementing these concepts
Prior experience in Banking Financial and Insurance is a must combined with strong articulation skills, strategic Thinking exposure, Leadership traits, Strong business acumen, Customer focus, and Social skills are essential.

Responsibilities

Strong experience in Cloud Data Architecture and Roadmap and effectively engaging various client Stakeholders on the architecture proposition.
Strong experience in Solution Architecture (Data & Analytics)
Must have prior experience building large scale enterprise data architectures using commercial and/or open source Data Analytics technologies. Must demonstrate knowledge of data architecture patterns
Strong cloud architecture expertise (Azure, AWS, GCP) across large project with minimum 2-3 years experience in delivering cloud projects
Strong solution implementation experience (platform engineering, developer experience)
Data modelling and architecting skills including strong foundation in data warehousing concepts, data normalization, dimensional data modelling and a variety of data models including data vault
Demonstrated experience across different data platform such as Databricks (Delta Lake, Unity Catalogue), Snowflake, FiveTran, dbt, Data Virtualization tools
Demonstrated experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects
Lead transformation effort for Large opportunities i.e. build strategy and multi-year Transformation roadmap for our customers
Strong ability and experience in engaging with both technical and non-technical stakeholders
Strong teaming, communications and analytical skills
Dedicated, resourceful and able to work under pressure
As part of Presales support, should be able to shape large multi-million value Deals both proactive and reactive by driving TCS positioning with customers and build business for TCS
Develop Point of views, solution approaches & pitches for new opportunities
Define Data and Technology Architecture and patterns on-prem/hybrid/Cloud using native and other partners/tools with recommendations that suits customer's context and objectives
On Data front strong in Data Governance, MDM and Data Modeling
Drive and Participate in Architecture reviews both internal and client teams
Oversee data management, warehousing, integration, data movement, and delivery across assigned data initiatives.
Examine data, processes, and technologies to determine the current state and critical problems of Customer's data and analytics journey
Research and make recommendations for training, equipment, and technology to improve data use
Build connect with Client's Senior Leadership CXOs/D&A Heads and work with them to develop clear Data and Analytics Strategy and Architecture that supports their business goals and objectives.