Senior Azure SQL/Cosmos Data Architect

Overview

Remote
On Site
$110,000 - $150,000 annually
Full Time

Skills

Unit Testing
Predictive Modelling
SQL Azure
Cosmos
Collaboration
Management
Technical Support
Documentation
Cosmos-Db
Microsoft Power BI
Code Refactoring
Design Patterns
Continuous Integration
Continuous Delivery
Real-time
Microsoft Azure
PaaS
ADF
Stored Procedures
Data Engineering
Dimensional Modeling
Extract
Transform
Load
Data Governance
Data Warehouse
Unstructured Data
SQL
Database
Python
Parallel Computing
MapReduce
Apache Spark
Scala
Artificial Intelligence
Messaging

Job Details

RESPONSIBILITIES:
Kforce has a client that is looking for a Remote Senior Azure SQL/Cosmos Data Architect for a client.

Key Tasks:
* Hands-on development - Azure SQL & Cosmos DB: develop and unit test database code
* Create and maintain database structures
* Senior Azure SQL/Cosmos Data Architect will participate in the design of databases, using first, second or third normalized form as needed to support business requirements
* Create, deploy, and maintain ADF pipelines
* Monitor database performance, identify bottlenecks and implement improvements to ensure scalable and reliable database operations in a production environment
* Perform analysis of complex data and document findings
* Prepare data for prescriptive and predictive modeling
* Combine raw data from different external sources and build and support complex ingestions
* As a Senior Azure SQL/Cosmos Data Architect, you will collaborate with application developers/data analysts who will be consuming the data
* Play a direct role in the maintenance, technical support, documentation, and administration of databases

REQUIREMENTS:
* 6+ years of relevant and progressive data engineering experience
* 3+ years of experience with Cosmos DB
* Minimum of 3 years of relevant experience working with Azure Data Factory
* Minimum of 1 year of relevant experience working with Azure Data Lakes Gen 2
* Experience with Power Platform/Power BI
* Experience in engineering practices such as code refactoring, design patterns, CI/CD, and highly scalable data applications
* Experience developing batch ETL pipelines; real-time pipelines are a plus
* Deep Technical knowledge and experience in Microsoft Azure architecture, including Azure PaaS databases, Synapse, ADF pipelines and Synapse stored procedures
* Knowledge of advanced data engineering concepts such as dimensional modeling, ETL, data governance, data warehousing, structured and unstructured data
* Hands-on skills working with data pipelines using SQL and No-SQL databases
* Understanding/Experience with Python; Additional knowledge of parallel processing frameworks like MapReduce, Spark, Scala is a plus
* Experience/Familiarity with D365 Customer Insights platform/Dataverse is a plus

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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