Job Description

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."