Principal Data Architect

Principal Data Architect

The Principle Data Architect is responsible leading the design, implementation, and evolution of our enterprise data architecture. This role plays a strategic role in ensuring the Park Place data ecosystem supports current and future business objectives, enabling advanced analytics, operational efficiency, and scalability.

What you’ll be doing:

·Define and maintain the enterprise data architecture vision, strategy, and roadmap, including data modeling, data integration, data warehousing, and business intelligence.

·Lead the design and implementation of complex data solutions, including data pipelines, data lakes, and data warehouses, ensuring scalability, performance, and security.

·Evaluate and recommend new and emerging data technologies, tools, and techniques to support business needs and drive innovation.

·Collaborate with stakeholders to establish and enforce data governance policies, standards, and procedures to ensure data quality, integrity, and compliance.

·Provide technical leadership and mentorship to data architects, engineers, and analysts, fostering a culture of collaboration and knowledge sharing.

·Effectively communicate and collaborate with business stakeholders, IT leaders, and project teams to understand data requirements and deliver solutions that meet their needs.

·Stay abreast of industry trends and best practices in data architecture, data management, and data security.

·Develop and maintain comprehensive documentation of data architecture artifacts, including data models, data flow diagrams, and data dictionaries.

·Other duties as assigned.

What we’re looking for:

·10+ years of experience in data architecture, data warehousing, or related fields, with a proven track record of designing and implementing complex data solutions.

·Deep understanding of data modeling techniques (e.g., relational, dimensional, NoSQL), data integration patterns (e.g., ETL, ELT), and data warehousing principles.

·Experience with cloud-based data platforms (e.g., Azure, GCP, AWS) and data lake technologies.

·Strong understanding of data governance principles, data quality management, and data security best practices.

·Excellent communication, interpersonal, and leadership skills with the ability to influence and collaborate effectively with diverse stakeholders.

·Strong analytical and problem-solving skills with a proven ability to identify and resolve complex data challenges.

·Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

Bonus Points:

·Experience with data visualization tools and techniques.

·Knowledge of data science and machine learning concepts.

·Experience with Agile methodologies.

·Relevant certifications (e.g., Azure Solutions Architect)

Education:

·Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

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