Cloud Data Architect

Job Description

Cloud Data Architect

Must Have Technical/Functional Skills

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
• Hands‑on on Databricks (Delta Lake, Unity Catalogue)
• Five Tran
• Atlan
• DBT
• Understanding of ETL / ELTL & ELT and Data Governance concepts including Data Quality, MDM, Lineage, Observability and metadata management
• Experience with a Data Governance tool such as Collibra, Atacama, Atlan, Fivetran, etc.
• Understanding of Data Products, Data Mesh, Data Fabric, Data vault and implementation experience of these concepts

Roles & Responsibilities

• Strong experience in Cloud Data Architecture and roadmap and effective engagement of various client stakeholders on the architecture proposition
• Strong experience in Solution Architecture (Data & Analytics)
• Prior experience building large‑scale enterprise data architectures using commercial and/or open source Data Analytics technologies; demonstrated knowledge of data architecture patterns
• Strong cloud architecture expertise (Azure, AWS, GCP) across large projects with minimum 2‑3 years experience in delivering cloud projects
• Strong solution implementation experience (platform engineering, developer experience)
• Data modelling and architecting skills, including a strong foundation in data warehousing concepts, data normalization, dimensional data modelling and various data models including Data Vault
• Experience across different data platforms such as Databricks (Delta Lake, Unity Catalogue), Snowflake, FiveTran, dbt, Data Virtualization tools
• Experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects
• Lead transformation effort for large opportunities: build strategy and multi‑year transformation roadmap for our customers
• Strong ability and experience in engaging with both technical and non‑technical stakeholders
• Strong team, communication, and analytical skills
• Dedicated, resourceful, and able to work under pressure
• As part of Presales support, shape large multi‑million value deals both proactively and reactively by driving TCS positioning with customers and building business for TCS
• Develop points of view, 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 suit customer’s context and objectives
• Strong on Data Governance, MDM and Data Modeling
• Drive and participate in architecture reviews both internally and with 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 the customer’s data and analytics journey
• Research and recommend training, equipment, and technology to improve data use
• Build relationships with client senior leadership CXOs/D&A Heads and work with them to develop clear Data & Analytics strategy and architecture that supports their business goals and objectives

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence, and proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

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