Data Architect for IoT

Key Responsibilities
The ideal candidate will have a robust understanding of SQL KQL various data
platforms Data Fabric and Big Data technologies.
Design and Development: Architect design and develop scalable and robust
data models and structures to support various business needs.
Data Integration: Integrate disparate data sources into a unified system
ensuring data consistency and quality.
Data Management: Implement data management strategies including data
governance data quality and data lineage.
Optimization and Performance Tuning: Optimize database performance and
data processing workflows to ensure high efficiency.
Data products: Create Data contracts process to create/update Data products
Collaboration: Work closely with data scientists analysts and other
stakeholders to understand data requirements and deliver data products.
Documentation: Create and maintain comprehensive documentation for data
architecture data flows and infrastructure.
Security and Compliance: Ensure data security privacy and compliance with
relevant regulations and policies.
Required Skills and Qualifications
Educational Background: Bachelors or Masters degree in Computer Science
Information Technology or a related field.
Experience: Proven experience as a Data Architect or in a similar role.
Technical Proficiency:
Strong knowledge of SQL and KQL.
Experience with various data platforms (e.g. relational databases NoSQL
databases cloud-based data services).
Familiarity with Data Fabric concepts and implementations.
Hands-on experience with Big Data technologies (e.g. Hadoop Spark
Kafka).
Experience working with telemetry data and semi-structured data.
Analytical Skills: Excellent problem-solving skills with the ability to analyze complex
data requirements and design efficient solutions.
Communication Skills: Strong verbal and written communication skills with the ability
to convey technical information effectively.
Attention to Detail: High level of accuracy and attention to detail in all aspects of
work.



Preferred Qualifications
Experience with data visualization tools (e.g. Power BI Tableau).
Familiarity with machine learning and AI concepts.
Certification in relevant technologies or methodologies.
Knowledge of IoT (Internet of Things).