What are the responsibilities and job description for the Cloud Data Architect position at Centraprise?
Cloud Data Architect
Primary - NJ/NYC
Secondary - Dallas/Charlotte/Atlanta/Chicago - Onsite
Fulltime
Job Description:
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/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 Client.
- Prior experience in Banking Financial and Insurance combined with strong articulation skills, strategic Thinking exposure, Leadership traits, Strong business acumen, Customer focus, Social are essential.
Must Have skills :
- Cloud Data Architect, Snowflake, demonstrate hands-On on Databricks (Delta Lake, Unity Catalogue), Snowflake, Cortex AI, Five Tran, DBT.
- On Data front Hands on in Data Quality, Data Governance, MDM and Data Modeling (Data Products, Data Mesh, Data vault)
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)
- 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 doing 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 and Cortex AI, 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 Client positioning with customers and build business for Client.
- Develop Point of views, solution approaches & pitches for new oppor tunities
- 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.