Lead Consultant Data Architecture & Engineering - WFH

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

Work set-up: remote, 5 p.m. to 1 a.m.
Job Highlights:
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Competitive compensation package , salary, allowance, standard benefits including quarterly and annual performance-based cash bonus 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 wont find this at other places.

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Great working environment and company culture with flexible work location.

Required Technical Skills:
* at least four years of data architecture leadership experience is needed
- Experience leading small to medium sized technical teams (this includes work allocation/distribution to team members, technical escalation and support, representing the team in Agile ceremonies and client meetings).

- 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 skillset - 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