Job description

Remote

Business facing role Will work with the business teams to understand their data/reporting needs and assessing their data requirements.
Some SQL depth will be good to have here, but not as deep as Data Analyst. Think of this role as a Product Manager for Data, Analytics, Reporting, etc..
So could be a Data Product type of title or Product Manager title aligned to Data, Analytics, Reporting teams.
Azure – must have, unless really interesting without Azure from Asset Management firm.
Industry: must have asset management/investment management experience and really know the business.
Moving from on-prem to cloud infrastructure (Azure)
Moving on-prem workflows to Azure. Beginning stages of setting up ETL processes and building the data models.
In process of designing the data marts. Lots of Analysis and Modeling work ahead.
Current Architecture has latency issues.

Will be leveraging various Azure Services

Azure Orchestration services which help to automate and streamline tasks by coordinating various Azure services and resources, allowing users to build and manage complex workflows more efficiently.
ADF - Azure Data Factory
Azure Containers Instances
Azure Functions – Durable Functions
AKS – Azure Kubernetes Service
Azure Automation
Data Pipeline Orchestration
Azure DevOps
Workflow Orchestration Manager – ADR uses Apache Airflow
Azure Data Lake
Azure SQL

Azure Analytics Services - Azure Analytics Services is a suite of cloud-based tools and services that empower organizations to process, analyze, and derive insights from vast data.

Azure Synapse Analytics
Azure Data Lake,
Azure Data Factory,
Azure Data Explorer,

Azure Reporting Services

SQL Server Reporting Services (SSRS) on Azure

Azure Data Services

Azure SQL Database: A fully managed, cloud-based relational database service for building and deploying applications.
Azure Data Factory: A cloud-based data integration service for orchestrating and automating data movement and transformation at scale.
Azure Synapse Analytics: A limitless analytics service that combines data integration, enterprise data warehousing, and big data analytics.
Azure Data Lake Storage: A scalable, secure data lake for high-performance analytics.
Azure Stream Analytics: A real-time analytics service for fast-moving streaming data.
Azure Databricks: A cloud-based, Apache Spark-based analytics service for designing and deploying AI solutions.
Azure Analysis Services: An enterprise-grade analytics engine as a service.
Azure Data Explorer: A fast and highly scalable data exploration service.
Azure Health Data Services: A suite of purpose-built technologies for managing and analyzing protected health information (PHI).