Added 1 week ago
Data Architect
LocationAbu-Dhabi, Abu Dhabi, Middle East Staffing Adecco
Job typeManager
Date2025-01-07
CategoryIT and Telecommunications
Data Architect
Key Responsibilities
- Assess current data architecture and solutions
- Design target high-level data architecture and data management solutions for the TO BE data platform
- Design, develop and maintain data architectures that align with the organisation's strategic goals
- Recommend the best-fit technology components for the data platform in coordination with the Solution Architect
- Construct robust data pipelines to support scalable data ingestion, transformation and delivery
- Deploy integration system to collect data from various sources using real-time or batch ingestion technologies
- Establish data governance policies and procedures to ensure data quality, consistency, privacy, and compliance with relevant regulations
- Implement data security measures to safeguard sensitive information and ensure data is protected from unauthorized access or breaches
- Participate in product roadmap planning, recommending solutions
- Oversee the creation of data standards
- Develop a high-level description of entities and relationships through the conceptual data model
- Develop the conceptual data model which would be a representation of a data design to be implemented across all layers in data architecture
- Develop and implement data management policies, standards, and procedures
- Collaborate with client stakeholders to understand their data needs and requirements
- Lead and mentor junior architects and engineers, fostering a culture of technical excellence and continuous learning and innovation
Desired Experience and Qualifications
- Bachelor’s degree in computer science, information technology, or a related field (advanced degree such as master's or PhD in relevant area is a plus)
- Proven experience of at least 8+ years as a Data Architect with a focus on Data & AI Transformation Architecture
- Experience in building data pipelines with medallion (multi-hop) architectures
- In-depth knowledge of Data Management concepts and best practices
- Knowledge in industry-standard Enterprise Architecture Frameworks (e.g., TOGAF, Zachman).
- In-depth understanding of industry-standard data management maturity frameworks (i.e., DAMA-DMBOK, DCAM, CMMI CERT-RMM, IBM Data Governance Council, Stanford Data Governance, and Gartner’s Enterprise Information Management)
- Technical Expertise:
- Programming Languages: High proficiency in Python, Java, Scala, and R.
- Data Management & Databases: Oracle, SAP, SQL, NoSQL, and data warehousing solutions.
- Big Data Technologies: Apache Hadoop, Spark, Kafka, and other big data tools.
Cloud Platforms:
- Microsoft Fabric
- Azure (Synapse Analytics, Databricks, Machine Learning, AI Search, Functions, etc.)
- Databricks on Azure
- AWS (S3, Redshift, SageMaker, etc.)
- Google Cloud Platform (BigQuery, Dataflow, etc.)
Data Governance:
Ab Initio, Informatica, Collibra, Purview, IBM InfoSphere, Great Expectations, Deepchecks, Databricks’ Unity Catalog, Delta Sharing, Catalog Explorer, Audit Logging, and Identity Management.
- Data Visualization: Matplotlib, Seaborn, Tableau, and Power BI.
- DevOps & MLOps: CI/CD principles, Docker, MLFlow, and Kubernetes.
- Strong knowledge of data modelling, database design, data integration and ETL processes
- Proficiency in SQL and NoSQL databases
- Proficiency in web technologies and languages
- Relevant certifications (e.g., Azure or AWS Certified Solutions Architect, TOGAF, etc.) are a plus
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