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About
Cloud Data Architect (Snowflake, Databricks Delta Lake, Unity Catalogue, FiveTran, DBT) Hands‑on on Data Quality, Data Governance, MDM, and Data Modeling (Data Products, Data Mesh, Data Vault) Data architecture patterns; data warehousing concepts; dimensional data modeling; data vault. Experience with Azure, AWS, GCP and multiple projects Solution implementation experience (platform engineering, developer experience)
Roles & 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). Prior experience building large‑scale enterprise data architectures using commercial and/or open‑source Data Analytics technologies, and knowledge of data architecture patterns. Strong cloud architecture expertise (Azure, AWS, GCP) across large projects with minimum 2‑3 years experience. 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 various data models including data vault. Experience with Databricks, Snowflake, FiveTran, dbt, Data Virtualization tools and Big Data, data warehouse, and analytics projects. Lead transformation effort for large opportunities – build strategy and multi‑year transformation roadmap. 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, shape large multi‑million value deals both proactive and reactive 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 partner tools with recommendations that suit customer’s context and objectives. 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 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 connections with client senior leadership CXOs/D&A Heads and work with them to develop clear Data and Analytics Strategy and Architecture supporting their business goals and objectives.
Benefits
Discretionary annual incentive. Comprehensive medical coverage: medical & health, dental & vision, disability planning & insurance, pet insurance plans. Family support: maternal & parental leaves. Insurance options: auto & home insurance, identity theft protection. Convenience & professional growth: commuter benefits & certification & training reimbursement. Time off: vacation, time off, sick leave & holidays. Legal & financial assistance: legal assistance, 401(k) plan, performance bonus, college fund, student loan refinancing.
Salary Range : $100,000 - $130,000 a year Qualifications : BACHELOR OF COMPUTER SCIENCE #J-18808-Ljbffr
Languages
- English
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