Data Architect

Data Analysis Incorporated (DAI) is the controlling entity of the O’Neil family of businesses.

DAI and its subsidiaries operate in diverse industries worldwide, including global equity markets, health care, financial services, digital news, and insurance.

Our global footprint allows our teams to be responsive to customer needs in a timely and efficient manner.

We are dedicated to using technology and innovation to bring change and growth to our businesses.

We believe in a dynamic workplace, creating engaging, informative products and services that help our customers succeed.

Integrity is an essential characteristic for our firms and our associates Summary The Data Architect is responsible for leading the design, review, and optimization of enterprise data solutions.

This role establishes data architecture standards, promotes database design best practices, and provides technical leadership for high-performance relational database environments.

The position partners with Engineering and Database Administration teams to deliver scalable, maintainable, and secure data platforms that support business growth.

Design and review high-performance relational database architectures for enterprise applications.

Define and promote data modeling standards, architectural patterns, and database design best practices.

Collaborate with engineering teams to ensure scalability, maintainability, and performance of solutions.

Partner with Database Administrators to optimize database structures, indexing strategies, and query performance.

Conduct architectural reviews and identify inefficiencies, anti-patterns, and technical debt.

Provide guidance on transaction processing, concurrency, locking, and data integrity within OLTP environments.

Establish standards and governance practices for database development and deployment.

Support performance troubleshooting, root cause analysis, and remediation of database-related issues.

Contribute to strategic initiatives involving data integration, reporting, and data warehousing.

Document architectural decisions, standards, and recommended practices.

Qualifications & Requirements Required Education, Experience, Certification/Licensure Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field. 10+ years of experience designing and implementing relational database solutions.

Expert-level knowledge of relational databases such as: Microsoft SQL Server, PostgreSQL, and/or Oracle.

Strong understanding of OLTP database design principles and performance optimization techniques.

with data modeling, schema design, query tuning, indexing strategies, and transaction management.

Preferred Education, Experience, Certification/Licensure Experience with data warehouse architecture and dimensional modeling.

Knowledge of ETL/ELT design patterns and data integration architectures.

with cloud-based database platforms and hybrid architectures.

creating and enforcing enterprise data standards and governance frameworks. Knowledge, Skills and Abilities (KSAs) Advanced expertise in relational database architecture and data modeling. Strong analytical and problem-solving skills. Deep understanding of database design patterns, best practices, and anti-patterns. Ability to influence technical direction across teams. Excellent written and verbal communication skills. Ability to work independently and manage multiple initiatives. Working Conditions Must be able to perform essential job duties. Work is performed primarily in an office environment. Typically requires the ability to sit for extended periods of time (66%+ each workday), hear the telephone, and enter data on a computer and may also require the ability to lift up to 10 pounds. Equal Opportunity Employer Data Analysis Inc is an equal opportunity employer. All aspects of employment, including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.