Data Engineering Manager

Stanley Martin Homes•Reston, VA

6d•Remote

About The Position

Stanley Martin Homes is seeking a Data Engineering Manager to ensure the scalability, reliability, and performance of the company's enterprise data platform. This role involves leading the development of data warehouses and data lakes on cloud-native data platforms, architecting and scripting large-scale data pipelines using tools like Snowflake, Databricks, and Azure Cloud services. The manager will be responsible for securing critical datasets, establishing data governance policies, and staying current with industry trends. Collaboration with internal teams and vendors to integrate data systems, support the Enterprise Data Analytics Platform (EDAP) team, and develop transformation logic on Microsoft Azure are key aspects of this position. The role also includes supporting data maintenance, synchronization, wrangling, and migration across hybrid environments, as well as implementing data pipelines for event-based data replication and enriching the platform with new information sources. Active participation in enhancing the data platform's capabilities, including strengthening analytical workflows and executing on Stanley Martin's Business Intelligence tool (Looker), is also expected.

Requirements

Master’s Degree in Computer Science, Electrical and Computer Engineering, Data Science, or a related technical field plus 6 years of industry experience in data engineering with 3 of those years applying to real estate construction.
Proficient in homebuilder ERP platforms such as NEWSTAR and HomebuilderOne, which objective of establishing data warehousing, ETL/ELT, and data quality checks.
Experience with Microsoft Dynamics Finance and Operations 365, Lifecycle Services, Synapse Link, Power Apps, and BYOD required.
Deep hands-on experience with cloud data platforms: Snowflake, Databricks, AWS Redshift, or Azure Synapse.
Experience with data migration and conversion tools like SnowConvert
Proficient in using Python, Jinja, SQL, NoSQL, PowerShell, PySpark, Scala, and secure REST services.
Proficiency in using cloud platforms like Azure, GCP, or AWS.
Expertise in designing modern data architecture using tools like Coalesce, Fivetran, dbt Labs, Snowflake, Azure Data Factory, and Orchestra.
Deep knowledge of large-scale distributed data architecture patterns and data governance principles.
Deep expertise in strategizing, planning, program management, and technical architecture for large-scale data modernization.
Deep expertise in building data pipelines, data warehouses, and BI solutions for the homebuilding industry.
Proficiency in developing and debugging complex data pipelines, ETLs, and workflows on cloud platforms optimized for high volumes of homebuilding data.
Expertise in Open-source Data Technologies in processing, storage, data quality - Iceberg, Delta Lake, Apache Flink, Kafka.
Proficiency with CI/CD tooling like Jenkins, Airflow, Kubernetes, and Git/GitHub to enable robust development pipelines for business applications.

Nice To Haves

Familiarity with BI and reporting tools like Looker, Sigma, Workiva, and Vena

Responsibilities

Ensure the scalability, reliability, and performance of the company's enterprise data platform.
Leading development of data warehouses and data lakes on cloud-native data platforms.
Architecting, and scripting large-scale data pipelines, and leveraging tools like Snowflake, Databricks, Azure Cloud (Azure Data Factory, Functions etc.), and ADLS to support business applications in the environment.
Securing critical datasets related to customer POI, home sales data, and mortgage trends.
Establish and maintain data governance policies and procedures to ensure data quality and integrity.
Stay at the forefront of industry trends and emerging technologies, continuously evaluating, and adopting innovative solutions to enhance the company's data capabilities.
Collaborate with the internal teams to integrate and oversee internal and vendor data systems ensuring data correctness.
Support the Enterprise Data Analytics Platform (EDAP) team in their mission to build a best-in-class data platform for a growing homebuilder.
Responsible for developing transformation logic and supporting data management efforts using resources on Microsoft Azure.
Support the maintenance, synchronization, wrangling, and migration of data across a hybrid environment.
Collaborate to understand, analyze, document, and efficiently implement data pipelines for even-based data replication, including micro-batch and batch-based data pipelines.
Establish methods to enrich the platform with new sources of information that support analytics and web application data delivery needs.
Actively participate with broader team to enhance capabilities of the data platform, including strengthening analytical work flows executing on Staley Martin's Business Intelligence tool (Looker).

Benefits

Access to competitively priced, high-quality health care options through Aetna, MetLife and EyeMed
employer-paid Short Term and Long Term disability, basic life and AD&D insurance (including employee-paid life, Legal Resources, and Aflac supplemental options)
401(K), with up to $5K employer match
Health Savings Account (HSA)
3 weeks of paid parental leave
Flexible Spending Account (FSA) for dependent care
12 weeks of paid maternity leave through our Short-Term Disability Plan
free and low-cost mental health resources and support services through our Employee Assistance Program
tuition and certification reimbursement
15 days of vacation (increases with tenure)
6 days of paid sick leave
no-cost coverage for identity theft or travel mishaps
great discounts on buying a Stanley Martin home and discounts with our partners in mortgage and title services as well as cell phone service through Verizon
access to your paycheck early with an advanced pay option through Dayforce Wallet
Support local charities that are important to you through our Giving Back Program; with up to $250 match, 8 hours leave and more