Data Architect

About the Role

Key Responsibilities

• Defines and implements the long-term technology strategy and innovations roadmaps across analytics, data engineering, and data platforms to support business initiatives and roadmaps.
• Manages senior business stakeholders to secure strong engagement and ensures that the delivery of data and information projects aligns with longer-term strategic road maps.
• Advises on the design and structure of data systems, including databases, warehouses, and lakes, and oversees the documentation of all data architecture design and analysis work.
• Works with IT teams, business analysts, and data analytics teams to understand data consumers' needs and translate high-level business requirements into data models, metadata, test data, and data quality standards.
• Selects and implements database management systems to meet LAHSA's needs by defining data schemas, optimizing data storage, and establishing data access controls and security measures.
• Evaluates and recommends emerging data management, storage, and analytics technologies.
• Manages vendors and service providers for analytics, data engineering, and data platforms.
• Designs and implements processes for the ETL process from various sources into the organization's data systems.
• Determines overall data modeling standards, guidelines, best practices, and approved modeling techniques and approaches.
• Approves conceptual, logical, and physical data models for LAHSA applications and analytics environments.
• Represents the IT team in the LAHSA Data Governance committee and ensures technology solutions adhere to data standards.
• Defines and manages standards, guidelines, and processes to ensure data quality.
• Oversees the maintenance and enhancement of existing data architecture, delivering reusable services and cost-saving opportunities.

Requirements

• Bachelor's Degree in Data Science, Computer Science, Engineering, Information Management, or a related field, or equivalent experience.
• At least five (5) years of relevant experience in design and implementation of data models for enterprise data initiatives.
• At least five (5) years of experience in programming or project management, leading projects involving data warehousing, modeling, and analysis.
• Experience managing technology vendors and service providers.
• Experience working with and managing hybrid (onsite and remote) teams.
• Proven work experience and/or education/credentials related to the position.

Nice to Have

• Experience with data governance and data quality standards.
• Knowledge of emerging data management, storage, and analytics technologies.
• Experience with designing data warehouses, lakes, and file systems.

Qualifications

• Bachelor's Degree in a related field or equivalent experience.
• Minimum of five years of experience in data modeling, data warehousing, and analytics projects.

Benefits & Perks

• Comprehensive and competitive benefits package.
• Hybrid telework policy requiring a minimum of two days onsite per week.