Enterprise Data Architect - Toronto

Toronto, Ontario, Canada

ATB Financial

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Our bottom line is different.

There’s something special about working at ATB, and it’s been recognized on every top employer list that matters. Maybe it’s our exceptional culture where your total wellness is supported through market-leading benefits and you’re free to bring your whole self to work. Maybe it’s our commitment to a growth mindset and our unrelenting thirst for making it possible for fellow Albertans—even the ones who aren’t our clients.

Whatever it is, you won’t find a more genuine, driven and knowledgeable group of humans anywhere. We foster a culture of purpose, performance and possibilities. We engage with intense curiosity, and bring our whole selves to work, every day. We know it starts with people like you, so take a chance and start with us.

Job Number: REQ3062
Location: Remote
Apply by: Jan 31, 2022
Paygrade: L - N
# Positions available: 1
Leader Name: Medhat Mohareb

As ATB’s next Enterprise Data Architect, the successful candidate will play a lead role in the delivery of all Data and AI projects and programs driving strategic outcomes within ATB Financial.

This role is a key contributor to the implementation of highly secure and reliable Data, AI, RPA and BI Platforms and solutions. ATB Financial is seeking an experienced Data Architect who can work with a team of domain and solution architects to design and support our data lake and ecosystem. The position will be part of the Data and AI architecture team. The candidate must have a strong analytics mindset, a passion for innovation, and the ability to build and maintain strong partnerships at all levels across our enterprise. We are looking for individuals that thrive within an Agile team-based framework. With our focus on Data management and building out our future Data platform, we are proactively seeking top talent to join our team to help us create and implement our new data lake and analytics platform.

Accountabilities:

  • Lead / support data architecture discussion and design, participating in the design of the integration and Data Lakes architecture and analytics solutions
  • Assist other data architects to develop and maintain enterprise integration and Data Lake architecture standards and guiding principles
  • Support the assessment and optimization of the current architecture for scalability and performance
  • Lead / support efforts in the standardization of data definition, development of data models, and data quality and ownership practices
  • Own the the conceptual and logical design of the enterprise data model(s) and guide the implementation of the physical data model
  • Ensure that data models design and implementation align to target state architecture standards and principles, and identify when it is necessary to modify the architecture to accommodate solution needs
  • Collaborate with scrum masters and business leaders for all projects involving enterprise data
  • Along with other data architects, develop and maintain current state architecture models and artifacts
  • Work to address data-related problems relating to system integration, compatibility, and multiple-platform integration
  • Identify and develop opportunities for data reuse, migration, or retirement
  • Participate in data strategy and roadmap exercises
  • Participate in Enterprise security and other enterprise architecture initiatives
  • Provide excellent service, leadership, communication, problem solving and decision making skills.
  • Demonstrate strong prioritization, time management and organizational skills.

Requirements

  • Current and emerging techniques for obtaining data from a variety of sources; knowledge of data architecture and data modeling
  • Ten years of data modelling experience including strong knowledge of data governance/management principles, methodologies and tools
  • Experience working with Power Designer, Erwin or a similar data modelling tool
  • Experience in facilitating, sharing and adoption of data architecture best practices through governance councils/committees, with data stewards and various business stakeholders
  • Lead the Data Model constructs and how to apply to a variety of applications such as data warehousing, master data management, taxonomy, ontology, semantics, database design and more
  • Data analytics including ML/AI and data pipelines
  • Big Data ecosystems, data Lakes and data-centric systems, data architecture, data modelling, and database design.
  • Large scale data management in a complex multi-source, multi-product/ team environment. Exposure to Data Lake governance would be a plus
  • Break down complex projects and problems into actionable tasks that be delivered quickly and iteratively and provide value to the business stakeholders
  • Coordinate with the Line of Business to identify future needs and requirements, supporting all translation user requirements and business use cases to conceptual, logical, and physical data models and workflow processes.
  • Translate a business glossary into logical and physical data models, and coach/ support data modelers, solution developers and SSIS in their development/ testing/ implementation effort.
  • Work with a wide variety of data ranging between structured and unstructured datasets
  • Own the KPIs to measure the performance of the data ecosystem and provide visibility to senior leadership team
  • Working experience with cloud-based data warehouse technologies such as Google Cloud Platform, AWS, Microsoft Azure is highly desired.
  • Strong experience working in an Agile (SCRUM, Kanban etc.) development environment is highly desirable

Previous experience with/integrating with the following considered beneficial:

  • Previous experience in other financial industry technology areas such as Treasury systems, self-service banking channels, etc.
  • Familiarity with current and evolving strategies in the management and analysis of financial regulatory data e.g. FINRA
  • Familiarity with regulations pertaining to data handling in the payments space e.g. Payment Card Industry Data Security Standards (PCI DSS), PIPEDA and Privacy Act
  • Public or private cloud environments
  • Experience in designing / building solutions using Google Cloud Platforms (GCP) stack including technologies such as BigQuery, DataFlow, Cloud Function, Data Fusion, Big Table, Firestore, Cloudbuild, Cloud Composer, etc.

At ATB, we know that as you develop in your career, you gain many transferable skills. If you believe your experience and qualities are a match for this position, please consider applying.

Benefits

Be great. Be you. Believe.

We are dedicated to building a workforce reflective of the diversity within our communities and creating an environment where every team member has what they need to reach their potential. We encourage candidates from all equity-seeking groups to apply.

What happens next?

Thank you for applying online. If you are shortlisted for this opportunity, you will hear from us after the posting close date regarding next steps. We might ask you to participate in a digital interview or phone interview. If you require any accommodations, please let us know.

ATB Financial team members are required to disclose their COVID vaccination status and provide proof of vaccination or complete COVID rapid testing as a condition of employment to help support client and team member safety. We thank all candidates in advance for their understanding.

Stay in touch!

ATB is excited to know you’re interested in a career with us! Follow us on LinkedIn, Facebook and Instagram to get the inside scoop on what our team is up to.

Tags: Agile AWS Azure Banking Big Data BigQuery Bigtable Data Analytics Dataflow Data management Data pipelines Data strategy Data Warehousing GCP Google Cloud Kanban KPIs Machine Learning Pipelines Scrum Security SSIS Testing

Perks/benefits: Career development Flex vacation Startup environment Wellness

Region: North America
Country: Canada
Job stats:  0  0  0
Category: Architecture Jobs

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