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Why this grade This listing scored 61/100, which is a C. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
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- 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.
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This listing does not state a salary
$126k – $163k
That is the middle half of what comparable roles paid on this board over the last 90 days — 39 listings that did publish a figure, median $140k. It is not this employer's offer, and we have no idea what they pay. It is only what the rest of the market advertised.
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.