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Cloud Data Engineering Manager
Moss & Associates (Construction)
Moss & Associates is a leading construction firm specializing in diverse sectors like residential, commercial, and industrial.
Manage Moss' cloud data engineering efforts, design and maintain scalable cloud-based data solutions within the Microsoft Azure ecosystem.
Collaborate with data scientists, analysts, and business stakeholders to design and deliver semantic models, Power BI datasets, and dashboards that translate raw data into actionable insights.
Communicates with Stakeholders
Manage CI/CD processes for data infrastructure using Azure DevOps, ARM templates, and YAML pipelines. Monitor and optimize data workloads using Azure Monitor, Log Analytics, and SQL Profiler, ensuring high availability, performance, and cost-efficiency.
Work independently and with the business stakeholders to understand their requirements and drive business outcomes
Implement robust data ingestion frameworks for both structured and unstructured data sources, including APIs, on-premises databases, IoT, and 3rd party systems like Workday and Procore.
Design, build, and maintain scalable and secure cloud-based data solutions primarily within the Microsoft Azure ecosystem.
Design and enforce data governance standards, metadata management, and data security policies, including row-level security and data masking using Azure Purview and SQL Server security roles.
Utilize SQL server database for backend development and integration services
Implement data validation and quality checks to ensure accuracy and consistency
Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of strutured and unstructured data.
Accepts tasks from management and the client
Build real-time and batch data processing solutions leveraging Azure Stream Analytics, Event Hubs, and Databricks where applicable.
Develop robust ETL (Extract, Transform, Load) processes to integrate data from diverse sources into our data ecosystem.
Provide technical mentorship and guidance to junior engineers, fostering a culture of innovation and continuous learning.
Aggregate Functions
Lead the development of data pipelines and ETL/ELT workflows using Azure Data Factory, ensuring efficiency, reliability, and reusability across projects.
What you bring
azure functions
data warehousing
7 years experience
azure synapse
agile methodologies
advanced sql
Azure Functions and Logic Apps for automation
Solid understanding of data concepts, including ODS, data warehousing and data storage
7 years of professional experience in data engineering, with at least 3 years focused on Microsoft cloud data technologies. Proven experience in building enterprise-grade solutions on Azure, including:
Azure Synapse and SQL Server for data warehousing
Familiarity with Agile/Scrum methodologies, source control via Git, and project management tools like Azure Boards or Jira.
Indexing and Optimization
Hands-on experience integrating with Microsoft Power Platform, especially Power BI, including DAX, M language, and dataset optimization.
Advanced SQL concepts
Strong expertise in T-SQL, including writing optimized queries, stored procedures, and views for high-performance analytics.
Experience in implementing data modeling best practices (star/snowflake schema), dimensional modeling, and snapshotting techniques.
Experience with data governance and compliance, including data lineage, audit trails, sensitive data classification, and GDPR/CCPA requirements using Azure Purview or similar tools.
Referential integrity
SQL Server Database Administration
Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or related field.
Ability to think strategically about design and architectural aspects of the data infrastructure
Azure Data Factory for orchestration
Azure Data Lake Storage Gen2 for scalable storage
Benefits
Information not given or found
Training + Development
Information not given or found
Interview process
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Visa Sponsorship
Information not given or found
Security clearance
stakeholder communication, design, building, and maintaining cloud-based data solutions, developing data pipelines, etl/elt workflows, data lake/warehouse architectures, real-time/batch data processing, and collaboration with data scientists
Achieved through a wind energy project contributing to carbon-neutral operations.
Top 17%
EcoVadis Rating
Received an EcoVadis Silver rating, placing it in the top 17% of its sector as of October 19, 2023.
16% CO₂ Reduction
Carbon Calculator Impact
A UK carbon-calculator tool has enabled a 16% reduction in CO₂ emissions per square meter since 2019.
7% CO₂ Savings
EV Charging Stations
Installed EV charging stations and subsidized electric vehicle purchases for employees, resulting in a 7% reduction in carbon emissions.
Signatory to Net Zero Carbon Events; target carbon neutrality by 2030
Certified carbon-neutral operations in North America and Europe via renewable energy and offsets
Purchased renewable electricity (wind/clean) for U.S. operations; solar PV array in Germany facility
Reduced single-use plastics; provided reusable bottles and sustainable food options
Inclusion & Diversity
96% of employees
Employee Satisfaction
Certified as a Great Place to Work, employees rank the workplace highly, with 96% proud to work there.
97% say 'great atmosphere'
Workplace Atmosphere
The company fosters a welcoming and inclusive environment, as confirmed by employees.
Supports employee resource group 'Moss Women in Construction' for women in non-traditional roles.
Equal‑Opportunity Employer with policies against discrimination based on race, gender identity, sex, sexual orientation, age, religion, disability or veteran status.
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