Senior Data Architect

Adecco; Abu Dhabi; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading company in Abu Dhabi is seeking a Data Architect for a 5-month contract. The role involves assessing current data architecture, designing robust data solutions, and ensuring data governance and security. The ideal candidate will have extensive experience in data architecture and management, with proficiency in various programming languages and cloud platforms. This position offers an opportunity to lead a team and contribute to innovative data solutions.

Qualifications

• 8+ years as a Data Architect focused on Data & AI Transformation.
• Experience in building data pipelines with multi-hop architectures.
• Knowledge of Enterprise Architecture Frameworks like TOGAF.

Responsibilities

• Design high-level data architecture and management solutions.
• Establish data governance policies for quality and compliance.
• Lead and mentor junior architects and engineers.

Skills

Data Management

Data Governance

Data Architecture

Collaboration

Leadership

Education

Bachelor's degree in computer science

Master's or PhD in relevant area

Tools

Python

Java

Scala

R

Oracle

SQL

NoSQL

Apache Hadoop

Spark

Kafka

Microsoft Fabric

Azure

AWS

Google Cloud Platform

Tableau

Power BI

Job description

Role: Data Architect

Location : Abu Dhabi

Duration: 5 Months Contract

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, Sage Maker, etc.)
• Google Cloud Platform (Big Query, Dataflow, etc.)

Data Governance: Ab Initio, Informatica, Collibra, Purview, IBM Info Sphere, Great Expectations, Deep checks, 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