Hiring: Data Architecture & Engineering Director Company: AGP (Allegiance Group & Pursuant) Location: Dallas, TX Job Posted Time: 2026-09-16 20:34:05 Employment Type: Remote Target Skills & Keywords : Azure, Data Pipeline, ELT, ETL, Machine Learning, Python, SQL, SQL Server, Snowflake, Stakeholder Management About the job Experience: •8–10+ years of progressive experience in data engineering, database administration, data architecture, or related technical disciplines, including experience leading complex technical initiatives, or an equivalent combination of education and experience. •Deep experience with Microsoft SQL Server, Azure, Microsoft Fabric, SQL, Python, ETL/ELT pipelines, APIs, cloud-native data services, warehouse management, database optimization, and/or Snowflake. •Demonstrated experience working with large constituent, customer, donor, or transactional datasets. Required Skills: •A critical focus of this role is advancing AGP's use of AI within the data ecosystem. The Director will identify and lead opportunities to use AI, automation, and predictive technologies to improve data engineering, accelerate insights, increase efficiency, and create measurable value for AGP and its clients. •The ideal candidate is a pragmatic technical leader with a growth mindset who can balance modernization with the realities of an established data environment, maximizing the capabilities of existing systems while developing a thoughtful roadmap for future-state architecture and Key Responsibilities •Lead the design, evolution, and optimization of AGP's enterprise data architecture, data platforms, warehouse environments, cloud infrastructure, and integration frameworks. •Develop and execute a data architecture and engineering roadmap that supports organizational growth, analytics, reporting, constituent intelligence, and emerging business requirements. •Establish and lead the vision, strategy, and roadmap for AI-driven tools within AGP's data ecosystem, enabling scalable automation, predictive intelligence, responsible AI adoption, and measurable business value. •Identify practical opportunities to embed AI and automation into data engineering, data quality, monitoring, analytics enablement, and other data workflows. •Design and optimize ETL/ELT frameworks, APIs, data pipelines, and integration patterns across fundraising, CRM, web analytics, financial, external data, and partner systems. •Establish technical standards and best practices for data engineering, architecture, development, testing, deployment, documentation, and performance optimization. Qualifications: •Deep knowledge of enterprise data architecture, data engineering, database design, data integration, and modern data platform practices. •Strong expertise in relational databases, cloud-based data architecture, warehousing, ETL/ELT frameworks, APIs, and integration technologies. •Strong working knowledge of Microsoft SQL Server, Azure, Microsoft Fabric, SQL, Python, Power BI, and related technologies. •Understanding of AI, machine learning, predictive analytics, and emerging technologies and their practical application within enterprise data environments. •Demonstrated capacity to translate business requirements into scalable technical architecture and engineering solutions. •Demonstrated capacity to assess existing technology environments and balance modernization opportunities with operational requirements, cost, risk, and business value. •In-depth knowledge of data governance, quality, security, privacy, stewardship, and lifecycle management. •Strong technical problem-solving and analytical capabilities. •Demonstrated capacity to establish technical standards and influence adoption across teams without relying on formal reporting authority. •Demonstrated capacity to provide technical leadership and mentorship to engineers, developers, and other technical resources. Compensation: •Flexible work environment (work from home / hybrid options) •Competitive benefits and rewards package •Excellent benefits including Health, Dental, and Vision plans, Disability and Company Paid Life Insurance! Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!