26-064 Staff Data Engineer Data Architect (Azure Databricks)

Title: Staff Data Engineer / Data Architect (Azure / Databricks) 26-064

Resume Due Date: Wednesday June 17th 2026 (5:00PM EST)

Number of Vacancies: 2

Level: $90- $100/hr INC

Duration: 12 Months

Hours of work: 35 hours

Location: 1908 Colonel Sam Drive (Hybrid 3 days remote)

Job Overview

• As a Staff Data Engineer/Data Architect you will be responsible for leading the architecture design and delivery of scalable data pipelines and data products which enable innovative customer-centric digital experiences. You will be working as part of a cross-discipline agile team who helps each other solve problems across all business areas. You will be a thought leader and subject matter expert on the data lakehouse data warehousing and modeling activities for the team and use your influence to ensure that the team produces best-in-class data solutions that leverage repeatable maintainable and well-documented design patterns. You will employ best practice in development security accessibility and design to achieve the highest quality of service for our customers.
• Lead the architecture design and oversee implementation of modular and scalable data ELT/ETL pipelines and data infrastructure leveraging the wide range of data sources across the organization
• Design curated common data models that offer an integrated business-centric single source of truth for business intelligence reporting and downstream system use
• Work closely with infrastructure and cyber teams to ensure data is secure in transit and at rest
• Create guide and enforce code templates for delivery of data pipelines and transformations for structured semi-structured and unstructured data sets
• Develop modeling guidelines that ensure model extensibility and reuse by employing industry standard disciplines for building facts dimensions bridge aggregates slowly changing dimensions and other dimensional and fact optimizations
• Establish standards database system fields including primary and natural key combinations that optimize join performance in a multi-domain multiple subject area physical (structured zone) and semantic model (curated zone)
• Ensure model extensibility by employing industry standard disciplines for building facts dimensions bridge aggregates slowly changing dimensions and other dimensional and fact optimizations
• Transform data and map to more valuable and understandable semantic layer sets for consumption transitioning from system-centric language to business-centric language
• Collaborate with business analysts data scientists data engineers data analysts and solution architects to develop data pipelines to feed our data marketplace
• Introduce new technologies to the environment through research and POCs and prepare POC code designs that can be implemented and productionized by developers
• Work with tools in the Microsoft Stack; Azure Data Factory Azure Data Lake Azure SQL Databases Azure Data Warehouse Azure Synapse Analytics Services Azure Databricks Microsoft Purview and Power BI
• Work within the agile SCRUM work management framework in delivery of products and services including contributing to feature & user story backlog item development and utilizing related Kanban/SCRUM toolsets
• Document as-built architecture and designs within the product description
• Design data solutions that enable batch near-real-time event-driven and/or streaming approaches depending on business requirements
• Design & advise on orchestration of data pipeline execution to ensure data products meet customer latency expectations dependencies are managed and datasets are as up-to-date as possible with minimal disruption to end-customer use
• Ensure that designs are implemented with proper attention to data security access management and data cataloging requirements
• Approve pull requests related to production deployments
• Demonstrate solutions to business customers to ensure customer acceptance and solicit feedback to drive iterative improvements
• Assist in troubleshooting issues for datasets produced by the team (Tier 3 support) on an as-required basis
• Guide data modelers business analysts and data scientists in the build of models optimized for KPI delivery actionable feedback/writeback to operational systems and enhancing the predictability of machine learning models and experiments

Qualifications

• Requires an extensive knowledge in designing a data model to solve a business problem specifying a data pipeline design pattern to bring data into a data warehouse optimizing data structures to achieve required performance designing low-latency and/or event-driven patterns of data processing creation of a common data model to support current and future business needs.
• This knowledge is considered to be normally acquired through the completion of a four-year University education in computer science computer/software engineering or other relevant programs within data engineering data analysis artificial intelligence or machine learning.
• Experience guiding data lake ingestion and data modeling projects in a cloud environment (Azure & Databricks)
• Experience in modeling relational and in-memory models with star/snowflake schemas
• Experience with designing and implementing event-driven (pub/sub) near-real-time or streaming data solutions involving structured semi-structured and unstructured data across various platforms and.
• A period of over 6 years and up to and including 8 years in data modeling data warehouse design and data solution architecture in a Big Data environment is considered necessary to gain this experience.

Please note this is a real and current job vacancy. Morson Edge does not use artificial intelligence to screen or select candidates.