Ministry Brands
Sr. Manager, Data Warehouse Engineering
Ministry Brands, Alpharetta, Georgia, United States, 30239
Who We Are
Ministry Brands is a leading provider of SaaS operational management systems, payments platforms, digital engagement tools and background screening solutions for faith-based, non-profit and for-profit organizations. We serve more than 95,000 customers as a trusted partner in digital transformation, advancing missions, driving efficiencies and building engaged communities for more than four decades.
Our diverse team members serve their communities with real‑world experience, strengthening our ability to advance digital transformation for the greater good. We are committed to acknowledging and valuing employee differences and to creating an environment where every individual’s unique strengths and abilities are developed and valued. We welcome everyone and are dedicated to creating a culture where all employees have equal opportunity to be heard and reach their full potential.
Location & Hybrid Working Available Location:
Alpharetta, GA
Hybrid Working:
The role is split between the Alpharetta office (minimum 3 days per week) and remote work (up to 2 days per week). Any changes to work location must follow the appropriate process outlined in the handbook.
What You’ll Do As the Sr. Manager, Data Warehouse Engineering, you will design, manage, and maintain Azure/AWS data warehouse projects. You will also manage a team of data analysts to deliver meaningful visualizations for statistical modeling, prediction, and trend analysis.
Key Responsibilities
Architect and lead implementation of lakehouse solutions
Design, build, and optimize scalable lakehouse architectures on Azure, integrating data warehouse and data lake paradigms.
Lead end‑to‑end data pipelines using Microsoft Data Factory (ADF) and Microsoft Fabric.
Establish frameworks and best practices for data ingestion, transformation, and orchestration.
Manage and mentor data engineering teams
Direct, coach, and develop a high‑performing team of data engineers and analysts.
Foster a culture of knowledge sharing, continuous learning, and innovation.
Oversee resource planning, performance management, and skill development initiatives.
Collaborate with business and technical stakeholders
Engage with leaders, data scientists, analysts, and IT teams to translate data requirements into technical solutions.
Continuous improvement and innovation
Evaluate emerging technologies, tools, and frameworks within the Microsoft ecosystem (Databricks, Synapse, Azure Data Lake, Power BI, etc.).
Identify and implement process improvements to optimize performance, reduce costs, and accelerate time‑to‑insight.
Champion automation, CI/CD, and DevOps principles in data engineering workflows.
Data architecture and engineering excellence
Translate complex business requirements into scalable data models and pipelines using Fabric’s capabilities (Dataflows, Pipelines, Notebooks, Lakehouses).
Define standards for data modeling, version control, and documentation across projects.
Integrate on‑premises and cloud‑native data sources, ensuring seamless data movement and transformation.
Who You Are
Passionate about data warehousing and engineering, enthusiastic about serving purpose‑driven organizations.
Bachelor’s degree in Computer Science or related field, or equivalent practical experience (10+ years).
8+ years of experience in data engineering, data warehousing, or analytics, including at least 2 years in a leadership or managerial capacity.
6+ years of experience modeling, querying, and analyzing large datasets using SQL.
6+ years of ETL/ELT experience.
Strong background in Fabric and Azure development, including PySpark Notebooks, T‑SQL, C#, REST API ingestion, and HTML.
Comfortable building, integrating, and troubleshooting pipelines.
Self‑starter who can roll up sleeves and drive solutions independently.
Superior communication, leadership, and interpersonal abilities; able to bridge technical and business conversations.
Track record of mentoring and developing technical talent.
Azure, Microsoft Fabric, or other relevant certifications highly desirable.
Physical Considerations
Ability to work in a general office environment.
Ability to handle extended periods of computer‑based work, including telephone.
Travel Considerations
Domestic and/or international travel required, estimated up to 5%.
Benefit Offerings Designed to Promote a Life of Balance Ministry Brands offers a robust range of benefits to cultivate a lifestyle of balance and personal success. Highlights include:
Robust healthcare options – 100% covered employee‑only plans and generous HSA contributions.
Flexible paid time off – Up to 80 hours of paid sick/safe leave and 11.5 days of fully paid holidays.
Paid parental leave to support new families.
Mental health support through an Employee Assistance Program with access to counseling.
Professional development reimbursement to empower career growth.
Employee recognition and rewards via Nectar to celebrate achievements and strengthen culture.
Ministry Brands is a Equal Employment Opportunity Employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, disability, or any other legally protected characteristic.
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Our diverse team members serve their communities with real‑world experience, strengthening our ability to advance digital transformation for the greater good. We are committed to acknowledging and valuing employee differences and to creating an environment where every individual’s unique strengths and abilities are developed and valued. We welcome everyone and are dedicated to creating a culture where all employees have equal opportunity to be heard and reach their full potential.
Location & Hybrid Working Available Location:
Alpharetta, GA
Hybrid Working:
The role is split between the Alpharetta office (minimum 3 days per week) and remote work (up to 2 days per week). Any changes to work location must follow the appropriate process outlined in the handbook.
What You’ll Do As the Sr. Manager, Data Warehouse Engineering, you will design, manage, and maintain Azure/AWS data warehouse projects. You will also manage a team of data analysts to deliver meaningful visualizations for statistical modeling, prediction, and trend analysis.
Key Responsibilities
Architect and lead implementation of lakehouse solutions
Design, build, and optimize scalable lakehouse architectures on Azure, integrating data warehouse and data lake paradigms.
Lead end‑to‑end data pipelines using Microsoft Data Factory (ADF) and Microsoft Fabric.
Establish frameworks and best practices for data ingestion, transformation, and orchestration.
Manage and mentor data engineering teams
Direct, coach, and develop a high‑performing team of data engineers and analysts.
Foster a culture of knowledge sharing, continuous learning, and innovation.
Oversee resource planning, performance management, and skill development initiatives.
Collaborate with business and technical stakeholders
Engage with leaders, data scientists, analysts, and IT teams to translate data requirements into technical solutions.
Continuous improvement and innovation
Evaluate emerging technologies, tools, and frameworks within the Microsoft ecosystem (Databricks, Synapse, Azure Data Lake, Power BI, etc.).
Identify and implement process improvements to optimize performance, reduce costs, and accelerate time‑to‑insight.
Champion automation, CI/CD, and DevOps principles in data engineering workflows.
Data architecture and engineering excellence
Translate complex business requirements into scalable data models and pipelines using Fabric’s capabilities (Dataflows, Pipelines, Notebooks, Lakehouses).
Define standards for data modeling, version control, and documentation across projects.
Integrate on‑premises and cloud‑native data sources, ensuring seamless data movement and transformation.
Who You Are
Passionate about data warehousing and engineering, enthusiastic about serving purpose‑driven organizations.
Bachelor’s degree in Computer Science or related field, or equivalent practical experience (10+ years).
8+ years of experience in data engineering, data warehousing, or analytics, including at least 2 years in a leadership or managerial capacity.
6+ years of experience modeling, querying, and analyzing large datasets using SQL.
6+ years of ETL/ELT experience.
Strong background in Fabric and Azure development, including PySpark Notebooks, T‑SQL, C#, REST API ingestion, and HTML.
Comfortable building, integrating, and troubleshooting pipelines.
Self‑starter who can roll up sleeves and drive solutions independently.
Superior communication, leadership, and interpersonal abilities; able to bridge technical and business conversations.
Track record of mentoring and developing technical talent.
Azure, Microsoft Fabric, or other relevant certifications highly desirable.
Physical Considerations
Ability to work in a general office environment.
Ability to handle extended periods of computer‑based work, including telephone.
Travel Considerations
Domestic and/or international travel required, estimated up to 5%.
Benefit Offerings Designed to Promote a Life of Balance Ministry Brands offers a robust range of benefits to cultivate a lifestyle of balance and personal success. Highlights include:
Robust healthcare options – 100% covered employee‑only plans and generous HSA contributions.
Flexible paid time off – Up to 80 hours of paid sick/safe leave and 11.5 days of fully paid holidays.
Paid parental leave to support new families.
Mental health support through an Employee Assistance Program with access to counseling.
Professional development reimbursement to empower career growth.
Employee recognition and rewards via Nectar to celebrate achievements and strengthen culture.
Ministry Brands is a Equal Employment Opportunity Employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, disability, or any other legally protected characteristic.
#J-18808-Ljbffr