Lead Consultant Data Architecture

3 days ago

Makati, Metro Manila, Philippines Tasq Work Remote Full-time ₱1 - ₱2 Contract

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Leadership Opportunities- This role will help you extend and expand your knowledgeand experience in technical leadership positions. These include technical decision-making; guidance and mentorship of more junior team members; and developingrelationships with project, client, and company leadership all while remaining hands-on in your areas of expertise.
Our technology focus is on Azure- you'll have plenty of exciting opportunities to growyour skills in Microsoft and Azure in an environment committed to technical excellenceand client experience in a very specific, defined space. Six months of experience on ourteam is worth years somewhere else.
Microsoft Partnerships -Our great global relationship with Microsoft ensures that wehave a pipeline of cutting-edge Azure work opportunities, and access to the teams thathave built the platform. You wont find this at other places.
Competitive compensation package, salary, allowance, standard benefits includingquarterly and annual performance-based cash bonus and other remuneration.
Great working environmentandcompany culturewithflexible work location.

General Required Technical Skills:

Experience leading small to medium sized technical teams (this includes workallocation/distribution to team members, technical escalation and support, representingthe team in Agile ceremonies and client meetings).
Expertise in designing and implementing logical and physical data models for cloud andhybrid data warehouse environments
Implementing data architectures to support a variety of data formats and structuresincluding 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 andbuilding out data pipelines
API Knowledge is required, but preference given to candidates who can create APIs

Preferred Experience/Skills/Certifications:

Microsoft Fabric
Microsoft Azure Cosmos DB, Data Flows, Express Route, Azure Active Directory
Experience creating strategies to migrate customers from on-premise environments toAzure
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