Data Architect

Data Architect

About Us:

We're committed to leveraging data to drive insights, innovation, and strategic decision-making. As a Data Architect, you'll play a pivotal role in shaping our (and our clients) data infrastructure and ensuring the integrity, efficiency, and accessibility of our data assets.

Job Description:

As a Data Architect, you will be responsible for designing, implementing, and maintaining our organization's data architecture. You will collaborate closely with cross-functional teams including data engineers, analysts, and business stakeholders to understand data requirements and translate them into scalable, efficient, and well-organized data solutions.

Key Responsibilities:

Data Modeling and Design:
Develop and maintain conceptual, logical, and physical data models that reflect business requirements and support our data strategy.
Database Design and Optimization:
Design and optimize database solutions for performance, scalability, and reliability.
Data Integration:
Architect data integration solutions to ensure seamless data flow between various systems and sources.
Data Governance:
Establish and enforce data governance policies, standards, and best practices to ensure data quality, security, and compliance.
Metadata Management:
Define and implement metadata management processes to catalog and govern data assets effectively.
Data Security:
Collaborate with security teams to implement robust data security measures and ensure compliance with data privacy regulations.
Data Architecture Documentation:
Document data architecture standards, guidelines, and best practices.
Technical Leadership:
Provide technical leadership and mentorship to data engineering and analytics teams.
Vendor Evaluation and Management:
Evaluate third-party tools and technologies and manage vendor relationships as needed.

Qualifications:

Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
Proven experience (5+) working as a Data Architect or in a similar role.
Strong expertise in data modeling, database design, and data integration technologies (e.g., SQL, No

SQL, ETL/ELT tools).
Proficiency in data architecture best practices, data governance, and data security.
Hands-on experience with cloud-based data platforms (e.g., AWS, Azure, GCP) and data warehousing solutions.
Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
Strong problem-solving and analytical skills with a keen attention to detail.

Experience with agile development methodologies is a plus.

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