Data Solutions Architect – Senior Manager – Ai & Data

Details of the offer

Job Description Responsible for designing solutions, aligned with customer requirements for projects initiated by supported lines of business in coordination with other technical departments.
Creating a well-informed cloud strategy and managing the adaptation process Evaluating cloud applications, hardware, and software Developing and organizing cloud systems Responsible for design and implementation of data modelling and data architecture for e.g., DataFactory /Kimball/ Inmon /DataMesh/ DataVault 2.0/LakeHouse/Medallion Architecture.
Responsible for designing ETL/ELT, Data Ingestion, Data Validation and Data Quality in the data pipeline.
Responsible for designing and preparing the data dictionary and data catalogue related to the data model.
3 years' Experience building cloud solutions.
Apply technical knowledge to architect and design solutions that meet business and IT needs.
A good understanding and hands-on market leading ETL/BI tools.
Proficiency in SQL and Python.
Good understanding of ADO Devops/ JIRA, Confluence and Release Management (Dev to Prod).
Analyses business and proposal data and technical requirements to develop a wide range of data related solutions in cloud and traditional Technologies.
Assists project team with requirements completion and submittal of responses to RFP's Prepares design specifications, analyses and recommendations based on customer requirements.
Participate in the design, development, planning, modification and/or improvement of existing data and analytical systems.
Research system designs, concepts, feasibility and enhancement solutions utilizing advanced technical theory and knowledge.
Partners with project team to complete technical design documents Coordinates and contributes to compilation and writing of proposal documents.
Prepares design proposals to reflect cost, schedule and technical approaches.
Cloud Experience: Azure/AWS/GCP/Snowflake/Databricks Methodology Experience: Agile, DMBOK, DataOps, MLOps Consulting Experience is a strong preference End-to-end technology architecture design Understanding of Information Architecture domain (e.g., DAMA / DMBOK) Engage stakeholders in related domains to deliver a sound technology base for BI solutions Maintain awareness of new developments in AI and Data technology.
Applies to enterprise solutions as relevant.
Knowledge of Information security Define data management processes Define Systems management processes Define Business continuity processes Data integration (real-time, streaming, virtualization) Qualifications TOGAF, Industry aligned certifications, Cloud related architecture / associate certifications, Cloud data related architecture / associate certification Data Engineering, Data Science, Data Analytics and Analytics technology specific certifications.
Experience: 10 years relevant working experience in a client facing role; five of these in a management role.
Business development / market making experience preferred.
Or 10 years analytics delivery experience with subject matter expert knowledge in Data Management / Data Engineering / Data Science / Data Analytics / Analytics technology.
Is recognised as an expert in their chosen domain having architected and delivered numerous complex analytics and data solutions.
Additional Information Behavioural:  Excellent communication skills, both written and verbal  Ability to develop & grow technical teams  Objective oriented with strong client delivery focus  Client focused by building strong trusting relationships with clients  Focus on quality and risk  Sound problem solving ability  Ability to understand and comprehend complex environments and systems.   Inquisitive by nature and keen to figure out how things work  At Deloitte, we want everyone to feel they can be themselves and to thrive at work—in every country, in everything we do, every day. We aim to create a workplace where everyone is treated fairly and with respect, including reasonable accommodation for persons with disabilities.
We seek to create and leverage our diverse workforce to build an inclusive environment across the African continent.
Note: The list of tasks / duties and responsibilities contained in this document is not necessarily exhaustive.
 Deloitte may ask the employee to carry out additional duties or responsibilities, which may fall reasonably within the ambit of the role profile, depending on operational requirements.
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Nominal Salary: To be agreed

Requirements

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