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Why this grade
This listing scored 61/100, which is a C. It lost the most ground on pay transparency.
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 15 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Corroboration 5 / 10 Whether more than one source carries this listing.
-5 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Developer Data Science Senior Full Time
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
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 04 Oct 2026 Himalayas first sighting
Seen on 1 board over 0 days.