Senior Analyst, Data Platform DevOps

Overview

Opportunity:
Join AIMCo as a Senior Analyst, Data Platform Dev Ops. Be at the heart of building and running AIMCo’s Modern Data Platform. You’ll collaborate with diverse teams to power innovation, streamline data operations, and deliver impactful solutions. If you’re skilled in software development, CI/CD automation, streaming tech, and big data tools like Spark, Kafka, Hadoop, and Delta Lake — this is your chance to shape the future of data at AIMCo.

• Responsible for building, configuring, monitoring, and operating the data platform including all its integrated technologies, tools, solutions, and other cloud resources and services to deliver on Data and AI capabilities including data sourcing, data storage, engineering pipeline, data access, data cataloging and lineage, and data reporting and visualization, ensuring that it is scalable, reliable, and high performing.
• Work closely with other teams such as architecture, product development, Dev Ops, data management and governance, application integration and application operations to ensure that the data platform is aligned with the overall goals of the company.
• Responsible for ensuring that the platform is designed to maintain data quality and integrity, even in the face of failures or errors.
• Provide guidance and support to the Data Product team on technical issues and challenges.
• Oversee 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 identify opportunities for innovation, automation, and optimization.
• Establish pilots and POC’s for proposed solutions and make recommendations for approvals.
• Collaborate with the cloud service team to build and maintain well‑written production runbooks and operations documentation.
• Consult with various data product development teams on performance optimization or scaling challenges.
• Build developer tooling and other platform solutions such as CI/CD pipelines, local and staging environments, etc.
• Work with the cloud service team to build monitoring and observability pipelines.
• Work with the Cloud Service team to build infrastructure services as part of the platform and in support of data product development.
• Work 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 preferred.
• Formal training and/or accreditation in cloud engineering is preferred.
• Formal training and/or accreditation in IT service management is preferred.
• 6+ years experience in the day‑to‑day operation of technology platform (data and/or digital and/or integration) including incidents, problems, and change management.
• 6+ 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…