Senior Consultant Data Architecture & Engineering (GDC) | WFH, midshift

About this role

About the job: Senior Consultant Data Architecture & Engineering (GDC) | REMOTE

Work setup: remote, 5 p.m. to 2 a.m.
Job Highlights:

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Competitive compensation package, salary, allowance, standard benefits including quarterly and annual performance-based cash bonuses, and other remuneration.

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Leadership Opportunities: This role will help you extend and expand your knowledge and experience in technical leadership positions. These include technical decision-making; guidance and mentorship of more junior team members; and developing relationships with project, client, and company leadership, all while remaining hands-on in your areas of expertise.

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Our technology focus is on Azure; you'll have plenty of exciting opportunities to grow your skills in Microsoft and Azure in an environment committed to technical excellence and client experience in a very specific, defined space. Six months of experience on our team is worth years somewhere else.

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Microsoft Partnerships: Our great global relationship with Microsoft ensures that we have a pipeline of cutting-edge Azure work opportunities and access to the teams that have built the platform. You won't find this at other places.

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Great working environment and company culture with a flexible work location.

Required Technical Skills:

• At least 4 years of relevant experience

• Expertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environments

• Implementing data architectures to support a variety of data formats and structures, including structured, semi-structured, and unstructured data

• Experience with multiple full life-cycle data warehouse implementations

• Understanding of data architectures required to support data integration processing

• Experience with data modeling technologies such as ER/Studio, ER/Win or similar

• Experience with Microsoft Azure Data Platform services, including Azure Data Lake Store, Azure Storage, Azure Synapse, Azure Data Factory, Azure SQL database, Logic Apps, APIs

• Demonstrated ability to quickly learn, adopt and apply new technologies

• Data profiling and creation of source-to-target mappings

• Ability to provision and configure Azure data service resources

Detailed Required Skills:

• Python & SQL Scripting

• SQL, PySpark

• General Cloud Architecture competency capable of taking requirements and building out data pipelines

• API Knowledge is required, but preference given to candidates who can create APIs

Preferred Skills/Certifications/Experience:

• Microsoft Fabric

• Microsoft Azure Cosmos DB, Data Flows, Express Route, Azure Active Directory

• Experience creating strategies to migrate customers from on-premise environments to Azure

• Power BI and semantic modeling

• AWS Glue & Azure Data Factory

• AWS S3 & Azure Blob

• AWS Athena & Azure Databricks

• AWS Redshift & Azure Synapse

• AWS ECS & Azure AKS

Originally posted on Himalayas