Practice Lead, Data Platform DevOps

2 months ago

Edmonton, Canada AIMCo (Alberta Investment Management Corporation) Full time

DEPARTMENT:

BT - Delivery & Operations
- CLOSING DATE:

- November 21, 2023

Opportunity

Absolutely, this is an exceptional opportunity for an experienced professional in the field of Data Platform DevOps. As the Practice Lead, you'll play a pivotal role in shaping and managing AIMCo's Modern Data Platform (MDP). This platform lies at the heart of AIMCo's data strategy, and you'll have the chance to lead the charge in building, monitoring, and operating it.

This role offers not only the chance to lead and innovate within a cutting-edge data environment but also the opportunity to make a significant impact on the company's overall data strategy. If you're looking for a role that challenges and empowers you to leverage your technical expertise, this Practice Lead position is a remarkable fit.

**Responsibilities**:

- Responsible for building, configuring, monitoring, and operating the data platform including all its integrated technologies, tools, solutions, and other cloud resources and services to 1) deliver on Data and AI capabilities including data sourcing, data storage, engineering pipeline, data access, data cataloging and lineage, and data reporting and visualization, 2)ensure that it is scalable, reliable, and high performant.
- Responsible for ensuring that the platform is designed to maintain data quality and integrity, even in the face of failures or errors.
- Providing guidance and support to the Data Product team on technical issues and challenges.
- Overseeing the development and roadmap of the data platform, including the selection of technologies, design and configuration, implementation of interim target architectures, and the integration with various data sources.
- Identify and analyze cloud end-to-end architecture to propose new technologies and find new opportunities for innovation, automation, and optimization.
- Establish pilots and POC’s for proposed solutions and make recommendations for approvals.
- Working with the cloud service team to build and maintain well-written production runbook and operations documentation.
- Consulting with various data product development teams on performance optimization or scaling challenges
- Building developer tooling and other platform solutions such as CICD pipelines, local and staging environments, etc. You will also work with the cloud service team in building out monitoring and observability pipelines.
- Working with the Cloud Service team to build infrastructure services as part of the platform and in support of data product development.
- Working with the Cloud Service team to leverage cloud platforms, such as Microsoft Azure, to build and manage data infrastructure. Set up and configure cloud-based data storage, compute resources, and data processing services. Optimize resource allocation, performance, and cost-efficiency of the cloud infrastructure.
- Stay up-to-date with industry trends, emerging technologies, and best practices in data engineering and the investment industry. Evaluate and recommend new tools, frameworks, and technologies that can enhance data platform capabilities and support investment decision-making processes.
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Formal training and/or accreditation in data management / engineering is an asset.
- Formal training and/or accreditation in cloud engineering is an asset.
- Formal training and/or accreditation in IT service management is an asset.
- 7-9 years experience in the day-to-day operation of technology platform (data and/or digital and/or integration) including incidents, problems, and change management.
- 7-9 years of experience in software development, with demonstrated experience working in a dynamic programming language like Python
- Experienced with operating critical, scalable, and reliable real-time processing systems.
- Strong technical background in streaming technologies, data engineering, big data technologies (such as Spark, Kafka, Hadoop, Delta Lakes, etc.), and other data technologies such as Snowflake, Databricks, Azure Data Services, Collibra, and Power BI / Tableau.
- Strong experience in CICD tools and technologies such as source code control, build and deployment, and testing.
- Strong experience with data integration and ingestion tools such as Azure Data Factory and Apache Airflow.
- Experienced with Infrastructure as Code (Terraform, Ansible, Cloudformation, etc.)
- Experienced with DevOps best practices and culture
- Experienced with writing Python and SQL
- Solid understanding of cloud design patterns, cloud-native architecture and principles, cloud operations, and cloud security models
- Experienced in Azure cloud services, functions, cloud databases, data warehouse and analytics, machine learning, developer tools, security, and identity.
- Expertise in designing and implementing data integration and ETL / ELT processes.
- Familiarity with various methodologies, frameworks, and technologies relevant to

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