Senior Data Architect
Toronto, ON, CA, M5J 2V5
TELUS
By choosing TELUS you get access to amazing plans, phones and high-speed internet on Canada's most-awarded network, and help connect Canadians in need.Description
Be part of a transformational journey with innovative talent and leading edge technologies within TELUS Health.
Our team and what we’ll accomplish together
The TELUS Health Data Office brings the power of data and analytics to life, leveraging our market leading health & wellbeing products and the health delivery services to help create healthier communities around the globe.
In this role, you’ll be responsible for building the core foundational components of TELUS Health Data Platform.
Are you up for the challenge?
What you’ll do
You’ll get in on the ground floor of a high-profile business at TELUS Health and contribute to a new area of the organization. This career-shaping opportunity will allow you to work with many teams across the organization including: PMO, Marketing, Sales, Finance, Engineering, and the health leadership teams.
Key Responsibilities:
- Join our quest at TELUS as a Data Architect, where you'll be at the heart of innovation, shaping our trailblazing Generative AI platform. Our vision? To revolutionize the Gen-AI landscape, making it as universal and user-friendly as possible, touching lives from seasoned developers to creative designers and everyone in between
- Our mantra is simple yet profound: 'Focus, Flow, and Joy'. If you have a fervent interest in crafting innovative products for a broad audience and are excited about leveraging state-of-the-art technology, this is the right role for you
- Imagine being part of our Data Platform Engineering team, a place where status quo are questioned, processes are perfected, and cutting-edge tech is used not just for the sake of it, but to fundamentally transform effort into efficiency, and ideas into reality. This isn't just a job; it's a journey to redefine the future of technology
What you’ll do
You will be part of a dynamic team with experienced professionals, dedicated to delivering comprehensive solutions that harness the power of Data and Generative AI technology, including the development of custom-built products.
By joining our community of passionate builders, you will contribute to our shared goal of providing the most valuable, user-friendly, and enjoyable experiences! You will be playing a key role in ensuring the quality and rapid delivery of the products built using the TELUS Generative AI platform. We enjoy:
- Exploring bleeding-edge technologies, tools and frameworks to experiment with and build better products for existing customers
- Evaluating areas of improvement with technical products built and implementing ideas which will make us better than yesterday
- Collaborating with developers to work on technical designs and develop code, configurations, and scripts to enhance the development lifecycle and integrate systems
- Collaborate proactively and respectfully with our team and customers
- Develop tools and integrations to support other developers in building products
- Take solutions from concept to production by writing code, configurations, and scripts
- Improve existing platforms or implement new features for any of our products
- Create comprehensive documentation for implemented solutions, including implementation details and usage instructions
- Promote our culture of focus, flow, and joy to gain developers' support for our solutions
Qualifications
What you bring
- Build Data pipelines required for optimal extraction, anonymization, and transformation of data from a wide variety of data sources using SQL, NoSQL and AWS ‘big data’ technologies
- Streaming
- Batch
- Work with stakeholders including the Product Owners, Developers and Data scientists to assist with data-related technical issues and support their data infrastructure needs
- Ensure that data is secure and separated following corporate compliance and data governance policies
- Take ownership of existing ETL scripts, maintain and rewrite them in modern data transformation tools whenever needed
- Being an automation advocate for data transformation, cleaning and reporting tools
- You are proficient in developing software from idea to production
- You can write automated test suites for your preferred language
- You have frontend development experience with frameworks such as React.js/Angular
- You have backend development experience building and integrating with REST APIs and Databases using languages such as Java Spring, JavaScript on Node.js, Flask on Python
- You have experience with cloud-native technologies, such as Cloud Composer, Dataflow, Dataproc, BigQuery, GKE, Cloud run, Docker, Kubernetes, and Terraform
- You have used cloud platforms such as Google Cloud/AWS for application hosting
- You have used and understand CI/CD best practices with tools such as GitHub Actions, GCP Cloud Build
- You have experience with YAML and JSON for configuration
- You are up-to-date on the latest trends in AI Technology
Great-to-haves
- 3+ years of experience as a data or software engineer
- 3+ years of experience in SQL and Python
- 2+ years of experience with ELT/ETL platforms (Airflow, DBT, Apache Beam, PySpark, Airbyte)
- 2+ years of experience with BI reporting tools (Looker, Metabase, Quicksight, PowerBI, Tableau)
- Extensive knowledge of the Google Cloud Platform, specifically the Google Kubernetes Engine
- Experience with GCP cloud data related services ( Dataflow, GCS, Datastream, Data Fusion, Data Application, BigQuery, Data Flow, Data Proc, Dataplex, PubSub, CloudSQL, BigTable)
- Experience in health industry an asset
- Expertise in Python, Java
- Interest in PaLM, LLM usage and LLMOps
- Familiarity with LangFuse or Backstage plugins or GitHub Actions
- Strong experience with GitHub beyond source control
- Familiarity with monitoring, alerts, and logging solutions
- Join us on this exciting journey to make Generative AI accessible to all and create a positive impact with technology
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Angular APIs AWS Big Data BigQuery Bigtable CI/CD Dataflow Data governance Data pipelines Dataproc dbt Docker ELT Engineering ETL Finance Flask GCP Generative AI GitHub Google Cloud Java JavaScript JSON Kubernetes LLMOps LLMs Looker Metabase Node.js NoSQL Pipelines Power BI PySpark Python QuickSight React SQL Streaming Tableau Terraform
Perks/benefits: Career development
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