Data Architect Jobs

About The Position

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Management or Big Data and Analytics
• 7-9 years of related experience in a similar role with a focus on designing, developing, implementing, deploying, and managing an organization’s Enterprise Data Architecture.
• Cloud solutions and cloud architecture experience is required.
• Experience with MS Fabric, Azure Cloud Data Architecture/Framework and Cloud Analytics Services.
• Advanced technical proficiency with transformations and loading of internal/external data from various source like files, JSON, XML, noSQL, SQL databases, as well as custom vendor APIs.
• Database administration (DBA) skills.
• Data transformation skills with an in-depth knowledge of ETL/ELT and Dataflows/Data-Pipelines/SSIS/ Power-Automate.
• Understanding of artificial intelligence, machine learning, data processing, fundamental data structures, and algorithms.
• Advanced understanding of Enterprise Data Architecture platforms, concepts, patterns, and standards.
• Ability to conceptualize complex ideas into the key artifacts required to develop data architectures that are consistent with organizational enterprise architectural standards and technology strategy.
• Ability to think from various points of view (including end-user, architecture, development, and tester) in terms of access to data, application usability, performance, configuration, data governance, and data-quality stewardship.
• Skills in data-architecting measures, source system mapping, reporting definitions/algorithms/counting methodologies.
• Advanced knowledge of analytical tools such as Python/R.
• Knowledge in architecting, engineering, designing, developing, testing, maintaining, and datamining.
• Experience with implementing business vision, strategy, roadmaps, governance, and quality methods/practices.
• Experience with Master Data Management (MDM), data governance.
• Excellent communication and interpersonal skills, ability to collaborate effectively with internal and external partners.

Responsibilities

• Develops, implements, and maintains Enterprise Data Architecture that aligns with Enterprise Data Strategy and supports Ornge’s strategical initiatives.
• Architects high-quality data solutions/pipelines based on technical principles that utilize internal and external data, which is imported, stored, processed/transformed, cleansed, and integrated into existing Enterprise Data Architecture.
• Ensures data architecture supports strong Data Governance practices, including data quality, security, compliance, and cohesive data definitions across organization.
• Designs enterprise-wide conceptual/logical models for operational and analytical systems, ensuring consistency, scalability, agility, and correctness.
• Collaborates with internal and external partners as SME on organizational data curation requirements, data integration capabilities, data conceptualization, data-quality initiatives, and data stewardship.
• Fosters innovation, optimization, and development of data architectural methodologies, emerging technologies, tools, platforms, and process/pipeline solutions that support Ornge's Enterprise Data Architecture.

Benefits

• Comprehensive Health, Dental and Vision Benefit Plan.
• 24/7 Employee and Family Assistance Program.
• Premium Defined Benefits Pension Plan Automatic Enrollment.
• Three Paid Personal Days (Pro-Rated for Year 1).
• Accrued vacation time starting at three weeks per year.
• PERKS! Employee Promotional Programs relating to personal phone plans, furniture, home/car insurance, travel, fitness, attractions and more!
• Tuition reimbursement and opportunities for learning and development.