Data Architect - Senior - JP01043

Job summary

Define and maintain enterprise data architectures, develop data models and standards, and guide data integration, ETL, warehouse, and analytics platform design. Collaborate with business and technical teams to strengthen data quality, performance, security, governance, and compliance, while mentoring project teams on architectural practices.

Job details

Company Description Emmaculate Global INC. is a management consulting and solutions development organization specializing in business and digital transformation, enterprise and banking architecture, solution design and integration, quality assurance, and cybersecurity. The company delivers architecture-led transformations and innovative solutions for global organizations across banking, consumer goods, energy, pharmaceuticals, government, and regulatory sectors. Its team consists of highly certified consultants in frameworks such as TOGAF, Business Architecture Guild, BIAN Banking Architecture, and SAFe, working through a blended onshore–offshore delivery model. Headquartered in Canada with international locations and partners across South Asia, the EU, the Middle East, and Asia-Pacific, Emmaculate Global INC. provides research-driven best practices, global reference models, and continuous support. The organization is recognized for bridging organizational goals, business strategy, and IT delivery to give customers a competitive edge in innovation. Role Description The Data Architect – Senior – JP01043 role is a remote contract position responsible for defining, designing, and maintaining enterprise data architectures that support complex business and technology initiatives. Day-to-day activities include developing conceptual, logical, and physical data models; establishing data standards and patterns; and collaborating with stakeholders to align data solutions with architectural principles and business needs. The role includes overseeing data integration and ETL pipelines, guiding the design of data warehouses and analytical platforms, and ensuring robust data governance practices across systems and domains. The Data Architect will partner with business, engineering, QA, and cybersecurity teams to improve data quality, performance, security, and compliance, while mentoring project teams on best practices and architectural guidelines. Qualifications Strong expertise in Data Architecture and enterprise data solution design, including conceptual, logical, and physical modeling. Hands-on experience with Data Modeling and Data Warehousing, supporting reporting, analytics, and business intelligence use cases. Proficiency in Extract Transform Load (ETL) processes and tools, and data integration patterns across heterogeneous systems. Knowledge of Data Governance frameworks, data quality management, metadata management, and regulatory compliance practices. Experience designing data platforms in cloud or hybrid environments (e.g., AWS, Azure, GCP) and familiarity with relational and NoSQL databases. Ability to collaborate with cross-functional teams, translate business requirements into data solutions, and communicate complex concepts clearly. Prior experience in financial services, banking, or large enterprise environments is highly beneficial. Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Management, or a related field, or equivalent practical experience. Relevant certifications in data architecture, cloud platforms, or enterprise architecture frameworks are an asset.

What you’ll do

Define and maintain enterprise data architectures, develop data models and standards, and guide data integration, ETL, warehouse, and analytics platform design. Collaborate with business and technical teams to strengthen data quality, performance, security, governance, and compliance, while mentoring project teams on architectural practices.

Requirements

Requires strong expertise in enterprise data architecture and conceptual, logical, and physical data modeling, along with hands-on experience in data warehousing, ETL, integration, and governance. Candidates should be familiar with cloud or hybrid platforms and relational and NoSQL databases, communicate effectively across teams, and have a relevant degree or equivalent experience; financial services experience and relevant certifications are assets.

Listed skills

• Regulatory Compliance · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data Architecture
• Enterprise Data Solution Design
• Data Modeling
• Data Warehousing
• ETL
• Data Integration
• Data Governance
• Data Quality Management
• Metadata Management
• Cloud Data Platforms
• Relational Databases
• NoSQL Databases
• Regulatory Compliance
• Data Security
• Stakeholder Collaboration
• Business Intelligence

Job areas

• Data & Analytics
• Technology
• Consulting
• Software
• Finance & Accounting