Requirements
Data Management Engineers
We are searching for an innovative and enterprising Data Management Engineer. Reporting to the
Manager, Data Analytics in the Health Data Office (HDO), the successful candidate plays a critical
role in shaping and implementing our enterprise-wide data governance and data management
roadmap and strategy.
The Data Management Engineer will focus their work on 'data is an asset' thinking across the
enterprise, integrating the Data Governance tools implementations of Collibra Data Intelligence
Platform, Collibra Data Quality, Google Cloud Data Related Tools, and Informatica MDM/RDM. This
person will work with internal partners and developers to brainstorm and evaluate technical
solutions, product integration opportunities and demonstrations. This role requires creative thinking,
a deep curiosity and understanding of data models and usage, as well as empathy for
partner/client challenges and pain points. The Data Management Engineer will be responsible for
best practices, standards, and procedures for the Data Governance Platform(s). By collaborating
with cross-functional teams, they will align data initiatives with business goals, driving innovation,
efficiency, and competitive advantage.
What you’ll do
Provide high-quality solutions by coding, testing, debugging, documenting, and maintaining
programs. Developing and modifying moderately complex information systems involves
most systems analysis and programming phases
Assists in the development of integration of metadata and lineage information from various
data platforms and applications with Collibra or other enterprise tools
Participate in the design, implementation, and maintenance of Data Catalog, Data Quality,
and MDM systems and architecture
Collaborate extensively with infrastructure and platform teams, fostering seamless
integration of the master and metadata platforms within the organizational ecosystem,
ensuring its scalability and efficiency
Design and code API based solutions for procuring data from disparate sources as well as
exposing functionality from MDM, Data Quality, and Data Catalog applications
Lead discovery and recording of business metadata and ensure that the metadata remains
up to date for assigned data assets
Initiate the creation and maintenance of master data records across the organization
Facilitate the resolution of data quality issues in conjunction with business, IT, and
Enterprise Data teams, through the appropriate choice of error detection and correction,
process control and improvement, or process design strategies along with the appropriate
technical implementation.
Build and maintain conceptual, logical, and physical data models where needed.
Risk Management: Identify potential risks and vulnerabilities within existing implementations.
Develop mitigation strategies and contingency plans to address these risks and ensure
business continuity
Experience in requirements management, diagramming, use case development (UML), data
mapping (different layers), data validation, match and merge rules
Build and sustain relationships on our global team with business partners, professional
peers, and other TELUS Health team members
Work in an agile delivery team to break down stories and deliver functionality in sprints
Ensure that the data management and metadata management strategies are implemented,
continuously improved, and reflected in data standards, tools, and practices
Properly prioritize business and enterprise demands and accurately translate business
requirements and functionality into technical solutions
What you bring
Extensive experience of 3+ years in a variety of technical fields including software, data,
and infrastructure engineering is required. This experience gives you a deep understanding
of the full stack required to deliver and operate the software
Proven experience in developing and implementing MDM and metadata strategies and
technical solutions
Fluent in multiple programming languages and development stacks. Knowledgeable of
multiple systems to design more resilient and maintainable solutions (more details below)
Working knowledge and 3+ years experience with data governance principles and
frameworks including:
o Source system profiling via a variety of tools and methods (Informatica, Collibra,
Google Cloud Tools, etc.)
o Ability to write data quality rules (business facing and code)
o Data lineage/data catalog knowledge
o Master data management
3+ years API development experience with various tools and technologies including REST,
GraphQL, JavaScript, JSON, XML, Python, JDBC, Google Cloud Data Tools
3+ years of experience with cloud platforms: Google Cloud Platform (GCP) (Preferred),
AWS, and Azure,
3+ years developing and working with Data Warehouses, Data / Information Marts, Data
Lakes, Data Ingestion & Storage.
SQL capabilities: writing, reading, and troubleshooting at a moderate to advanced level
ETL Ability: Able to support basic ETL code and processing, can create, adjust code, or
help run items as required.
Regular expressions and scripting - the ability to write, edit, and interpret regular
expressions. Experience with scripting tools and development (e.g. Java, Python, Perl,
PowerShell, Bash, SQL)
3+ years’ experience working in a variety of data models, ODS, Relational, Fact/Dimension
Strong project management, analytical, and problem-solving abilities
Exceptional communication and interpersonal skills, with the ability to engage effectively
with technical and non-technical stakeholders.
Experience in an agile work environment
Ability to manage multiple topics in a fast-paced environment and cross-functionally support our internal / external business customers
Strong attention to detail
Comfortable with high level of ambiguity and possess a continuous improvement mindset
Ability to work independently and in a team environment
Must have strong change management orientation, skills, and experience
Great-to-haves
Master level or equivalent
5+ years of progressive and relevant work experience with enterprise data
Experience with leading platforms like Informatica MDM and the Collibra Data Intelligence
Platform
Experience with the data offerings in the Google Cloud Platform
Experience in the healthcare data and technology domain, specifically around supporting
Private & Public Payors, Providers and Employer-based programs