Technical Architect

Project Description:

The Client is seeking to engage a Technical Architect for various IT projects as described below.

The services of the Technical Architect are for the Asset Management Program – Data Architecture analysis, mapping around the Districts current in-place systems and mapping towards future District asset management needs.

REQUIREMENTS

1.       Education:

·       A Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or a related discipline. Coursework in database management, data architecture, systems analysis, and computer programming are highly beneficial.

·       Preference will be given to candidates who hold the following certification: Certified Data Management Professional (CDMP)

2.       Experience:

·       Minimum of 10 years hands on experience in areas like database administration, data engineering, and programming

Technical Skills

The successful candidate will possess a deep understanding of data management principles and a wide range of technical proficiencies. Key technical skills include:

§  Data Modeling and Design: The ability to design and implement data models that represent the structure and relationships of data. This includes conceptual, logical, and physical data models.

§  Database Management: Expertise in relational and non-relational databases –

§  MS SQL, Oracle, MS Access

§  Data Warehousing and ETL: Knowledge of data warehousing concepts and experience with Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes. This includes proficiency with ETL tools and technologies.

§  Cloud Computing: Experience with major cloud platforms like Microsoft Azure for building and managing data architectures.

§  Programming Languages: Familiarity with programming languages commonly used in data management, such as SQL, Python, Java, and Perl.

§  Data Governance and Security: A strong understanding of data security, privacy regulations (e.g., GDPR, HIPAA), and the ability to implement and maintain data governance policies.