Data Architect - Vice President at Citi

Mississauga, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

19 Mar, 26

Salary

0.0

Posted On

19 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Modeling, Data Warehousing, ETL Processes, AI Principles, DBMS, Big Data Technologies, Business Intelligence, Data Governance, Cloud Computing, Communication, Collaboration

Industry

Financial Services

Description

Design and implement data models: Develop conceptual, logical, and physical data models that meet business requirements. Develop data warehousing strategies: Design and implement data warehouses and data lakes to support business intelligence and analytics. Establish data governance policies: Define and enforce data quality standards, access controls, and security protocols. Collaborate with stakeholders: Work with data scientists, engineers, and business analysts to understand data needs and translate them into technical solutions. Evaluate and select data management tools: Research and recommend appropriate data management technologies and tools. Oversee data migration and integration: Manage the process of migrating data from legacy systems to new platforms. Performance tuning and optimization: Monitor and optimize data infrastructure performance to ensure efficient data access. Stay up to date with industry trends: Keep abreast of the latest developments in data management technologies and best practices. 6+ years of professional experience in software development. Experience in finance industry is preferred. Data Modeling: Expertise in various data modeling techniques, including relational, dimensional, and NoSQL. Data Warehousing: Strong understanding of data warehousing concepts and experience with data warehouse design and implementation. ETL Processes: Proficiency in designing and implementing Extract, Transform, Load (ETL) processes. Sound understanding of AI principles and how to architect data solutions to incorporate AI tools and techniques. Database Management Systems (DBMS): Extensive knowledge of various DBMS platforms, such as SQL Server, Oracle, and MySQL. Big Data Technologies: Familiarity with big data technologies like Hadoop, Spark, and NoSQL databases. Business Intelligence: Experience with various BI tools and technologies including Tableau, Power BI, MicroStrategy, etc. Data Governance: Understanding of data governance principles and best practices. Cloud Computing: Experience with cloud-based data platforms like AWS, Azure, and GCP. Communication and Collaboration: Excellent presentation, communication and interpersonal skills to effectively collaborate with stakeholders. Bachelor's degree/University degree or equivalent experience Master's degree preferred ------------------------------------------------------ AI Adoption, Business Intelligence (BI), Data Modeling, Data Warehousing (DW), ETL Processing. ------------------------------------------------------ Automated Processing and AI We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details. ------------------------------------------------------

Responsibilities

The Data Architect will design and implement data models and develop data warehousing strategies to support business intelligence and analytics. They will also establish data governance policies and collaborate with stakeholders to translate data needs into technical solutions.