обновлено 4 дня назад
Senior Data Architect (AI)
140 000 - 170 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Architect (AI) (Data Architecture/Financial Services): Establishing enterprise data standards, models, flows, and technical solutions for investment services with an accent on data governance, cloud platforms, data warehousing, and AI integration. Focus on translating business requirements into technical specifications, designing scalable data architectures, and integrating RAG, LLM, and machine learning lifecycle capabilities.
Location: Toronto, Canada, with a hybrid schedule; the office will move from 483 Bay Street to 3 Robert Speck Parkway in Mississauga in late 2026.
Salary: CAD 140,000–170,000 annually, plus a discretionary performance bonus.
Company
provides investment portfolios and financial services to Canadian individuals and institutions.
What you will do
- Align data architecture and technology solutions with the enterprise and Canada data strategies.
- Translate business requirements into technical specifications covering data streams, integrations, transformations, databases, and data warehouses.
- Define data architecture standards, principles, reference architectures, metadata, security, reference data, and master data models.
- Design data flows, conceptual and logical data models, flowcharts, and solutions for storing and retrieving enterprise information.
- Collaborate with departments, stakeholders, international partners, and external vendors.
- Support initiatives focused on data quality, governance, and timely data delivery.
Requirements
- University degree in Computer Science or equivalent experience, with at least 7 years of Data Architect experience.
- Current authorization to work in Canada is required.
- Experience with RAG architectures, LLM fine-tuning, GenAI integration, AI architecture, MLOps, or machine learning CI/CD pipelines.
- Strong experience with data modeling, database development, data governance, analytics, AI/ML, and data management.
- Proficiency with cloud technologies, preferably AWS; data warehousing, preferably Snowflake; and Boomi iPaaS.
- Experience with Microsoft SQL, Oracle, AWS Aurora, MySQL, PostgreSQL, ProgressDB, BI tools, master data management platforms, and enterprise architecture management tools.
Nice to have
- Experience with Ataccama, IBM, Informatica, LeanIX, Tableau, SAP, Salesforce, Power BI, Apache Sqoop, KNIME, RapidMiner, Elasticsearch, Pig, Hive, or Kafka.
Culture & Benefits
- Flexible working arrangements, including remote, hybrid, and in-office options.
- RRSP contributions after six months, with no employee matching required.
- Employer-paid health benefits from the first day, including mental health and therapy coverage.
- Parental leave top-up to 100% of salary for 25 weeks.
- Home office equipment support of up to CAD 650, paid time off, professional development courses, tuition reimbursement, and designation rewards.
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