Remote Data Architect

Summary

This job is for a Data Architect with 8+ years' experience in leading engagements from design to implementation of creative data solutions using the latest Spark-based modern data platforms on public cloud, particularly Azure. The candidate should have extensive experience with Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure foundation and cloud engineering concepts. Strong programming skills in Python and Scala are required, along with 6+ years' experience in architecting solutions for optimal extraction, transformation, and loading of data from various sources.

Requirements

• 8+ years' experience leading engagements from design to implementation of creative data solutions leveraging the latest in Spark based modern data platforms on public cloud
• At least 4 full lifecycle data platform deployments on Azure using first party services for Data and Analytics
• Extensive experience with following technologies: Azure Data Factory, Azure Synapse Analytics, Azure Databricks
• Extensive experience of Azure foundation and cloud engineering concepts including network, security, cost estimation, common IaaS and PaaS services and monitoring
• Strong Spark, SQL, Data Modeling, Data lakehouse concepts
• 6+ years' experience architecting solutions for optimal extraction, transformation and loading of data from a wide variety of traditional and non-traditional sources such as structured, unstructured, and semi-structured using SQL, NoSQL and data pipelines for real-time, streaming, batch and on-demand workloads
• 4+ years' experience with analytics/data management strategy formulation, architectural blueprinting and effort estimation of analytics
• 5+ years working in cloud or multi-server complex environments. Extensive experience with Azure is required
• Ability to simplify complex technical concepts into an easy-to-understand non-technical language to facilitate, communicate and interact with executives and business stakeholders
• Ability to deal with ambiguity by making the appropriate decisions considering the relative costs and benefits of potential actions
• Experience with Agile development methods in data-oriented projects
• Experience with Dashboarding and Reporting Tools used in the industry (Tableau, Power BI, Qlik, etc.)

Responsibilities

Deliver modern data solutions for clients including data ingestion/data pipeline design and implementation, data warehouse & data lake architectures, cognitive computing and cloud services

Preferred Qualifications

• Certifications in architecture, data engineering and development from Azure is preferred
• Knowledge of software configuration management environments and tools such as JIRA, Git, Jenkins, TFS, Shell, PowerShell, Bitbucket