Senior Architect, Data

Get started on an exciting career at Element!

Element employees make a difference in the lives of others every day. We are re-defining the fleet management industry to be people first, then business delivering on our promise of a superior client experience.

This takes hard work and innovation, and we need more like-minded people on our team.

What We Need

Element Fleet Management is seeking a Senior Data Architect to join our team. As the largest pure-play fleet manager in the world, we provide unmatched products and services and solutions to our clients.

At Element, employees play a critical role in delivering value to clients and ensuring an exceptional client experience.

We are committed to the success of our clients, employees, and investors by fostering a culture where every employee can make a difference!

Are you :

Able to partner with cross-functional teams to improve, extend and build on our data platform, support their project and enhancement needs, and provide thought leadership throughout the process?

Adept at providing strategic direction and technical expertise to meet data architecture needs?

The Senior Data Architect is responsible for optimizing the value delivered by our Data Architecture team which turns data into information, information into insight, and insight into business decisions.

This role will be responsible for conducting full data lifecycle activities to include requirements analysis and design, develop analysis and reporting capabilities, and continuously monitor performance and quality control plans to identify improvements.

This position supports the transformation, development, and improvement of our data platform. The ideal candidate will be very competent in working with ETL platforms and tools, modern relational databases as well as cloud-based data warehouses.

Working mostly within project teams, the Data Architect reviews requirements, produces designs and changes to meet these requirements and implements them in an expedient manner without impact to operational performance and functionality.

The DA’s role is to ensure that we are following our data processes, complying with Data Governance policies and procedures, designing solutions that support (and not detract) from achieving our desired end state.

The DA also ensures that all changes to our production systems are reviewed and pose no issues to operational stability because of said changes.

This role will be in office weekly T, W, Th at our Mississauga ON office.

A Day in the Life

Perform Data Architecture support for projects and enhancements.

Craft and execute data management, architecture, integration, and governance strategies

Provide technical leadership for architecture, design, documentation, and maintenance of databases and related systems; creates database storage structures, resolves database issues, and maintains system security

Support development and implementation of business applications that optimize statistical efficiency and data quality

Identify, analyze, and interpret trends or patterns in complex data sets

Review and approval of daily operational changes where required

Monitor daily operations of data loads and identify data discrepancies, data quality issues, and work to ensure data consistency and integrity

Participate in project and enhancement estimation exercises and project team meetings

Provide required input, status on tasks, identification of risks and corresponding mitigations as well as issue management

Collaborate with business partners to transform business requirements into environment specific ETL, reporting, and data validation designs;

work closely with management to prioritize business and information needs

Design relational databases to support business enterprise applications and physical data modeling according to project requirements for data acquisition and security

Collaborate with internal and external personnel, including system architects, software developers, database administrators, design analysts and information modeling experts to determine project requirements and capabilities, and strategize development and implementation timelines

Review changes to databases to ensure no performance or functionality impacts

Develop architectural strategies for data modeling, design, and implementation to meet stated requirements for metadata management, operational data stores and Extract Transform Load environments

Collaborate with the Application Development team to analyze, identify, design, and implement processes for sourcing new data

Generate DDL scripts from data modelling tool and to ensure the script’s proper function

Create and test physical data models for a variety of business data, applications, database structures and metadata tables to meet operational goals for performance and efficiency

Support database administrators, network designers and IT personnel to create effective and secure methods for data safeguarding

Review existing data architectures to determine overall effectiveness and compliance with original objectives, develop comprehensive strategies for improving or replacing underperforming areas and present these plans to managers and executives

Research new technologies, data modeling methods and information management systems to determine which ones should be incorporated into company data architectures, and develop implementation timelines and milestones

Requirements

Bachelor’s degree in data architecture, information management or similar field

At least five years of DBA / data development and data architecture experience (combined)

Proficient with PostgreSQL, Talend ETL, and Snowflake

Proficient in the use of data modeling tools, and producing / maintaining logical and physical designs

Strong ETL development knowledge (SSIS, ADF (Azure Data Factory), Boomi or equivalent) and data warehouse architecture techniques

Team experience, including working closely with business professionals as well as technical resources and acting as a bridge between the two groups including liaison with vendors

Experience optimizing, loading, and processing large datasets from different data sources and formats

Demonstrates careful attention to quality and accuracy of data and ETL processes

Creative problem-solver with strong communication skills

Collect business requirements and develop as well as document data models to satisfy those requirements

Adept at query development, report writing, and presenting findings

Ability to balance creativity with pragmatism, concepts with practical applications, agility with control

Familiar with fundamental Data Governance and security concepts and processes

Experience in the Fleet Management business is preferred

PostgreSQL / Snowpro (for Snowflake) certifications preferred

What’s in it for You

• A culture of innovation, empowerment, decision-making, and accountability
• Comprehensive health and welfare benefits that serve the needs of you and your family and foster a culture of wellness
• Additional benefits and amenities, including paid time-off programs (vacation, sick leave, and holidays)
• Hybrid work environment for most positions

Applicants will be required to undergo a background check only if and after a conditional offer of employment has been extended.

Element Fleet Management and its wholly owned subsidiaries are an equal opportunity employer committed to diversity and inclusion.

We are pleased to consider all qualified applicants for employment without regard to race, color, religion, gender identity, age, sex, sexual orientation, disability, national origin, Aboriginal / Native American status, protected veterans’ status or any other legally-protected factors.

Disability-related accommodations during the application and interview process are available upon request. Should you require an accommodation with our hiring process please send an email to or call (800) 665-9744.