Description review
Lead Consultant Data Architecture & Engineering - WFH
TASQ Staffing Solutions · Philippines · back to the listing
HR standards
44/100
poor
Title ↔ description
82/100
solid
Reads as
Data Engineer
86% confident
How others title the same work
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What the listing never says
- 29 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
About the job Lead Consultant Data Architecture & Engineering (GDC) | REMOTE
Work set-up: remote, 5 p.m. to 1 a.m.
Job Highlights:
•
Competitive compensation package, salary, allowance, standard benefits including quarterly and annual performance-based cash bonus and other remuneration.
•
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.
•
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.
•
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.
•
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
Work set-up: remote, 5 p.m. to 1 a.m.
Job Highlights:
•
Competitive compensation package, salary, allowance, standard benefits including quarterly and annual performance-based cash bonus and other remuneration.
•
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.
•
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.
•
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.
•
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