Engineering Director

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Engineering Director in the United States.

This is a senior, client-facing leadership role at the intersection of enterprise data architecture, consulting, and hands-on engineering. The position focuses on shaping and delivering modern data platforms that power large-scale digital transformation initiatives across cloud environments. You will act as both a strategic architect and a technical authority, guiding clients and internal teams through complex data modernization journeys. The role spans pre-sales solutioning, architectural design, and delivery oversight across data lakes, lakehouses, and cloud-native analytics ecosystems. You will collaborate closely with stakeholders across consulting, engineering, and sales to translate business needs into scalable, secure, and high-performing data solutions. Operating in a fast-paced, highly consultative environment, this role has a direct impact on enterprise data strategy and execution.

Accountabilities:

• Define and evolve enterprise data architecture strategies, including conceptual, logical, and physical models aligned with business and technology goals.
• Lead end-to-end design of modern data ecosystems across ingestion, processing, storage, and analytics layers in cloud environments.
• Drive solution architecture in pre-sales engagements, including proposals, PoCs, and client-facing technical advisory discussions.
• Architect and oversee implementation of scalable data platforms using technologies such as Databricks, Snowflake, Microsoft Fabric, and major cloud providers.
• Establish and enforce standards for data governance, security, compliance, and lifecycle management across enterprise environments.
• Guide engineering teams in building optimized data pipelines, streaming architectures, and AI/ML-ready data foundations.
• Mentor architects and engineers while contributing to practice development, reusable assets, and technical accelerators.

Requirements:

• 12+ years of experience in data architecture, data engineering, or related fields, including 5+ years in solution or enterprise architecture roles.
• Strong expertise in cloud platforms such as Azure, AWS, and GCP, with hands-on experience designing distributed data systems.
• Deep knowledge of modern data platforms including Databricks (Lakehouse, Delta Lake, MLflow, Unity Catalog) and Microsoft Fabric.
• Proven experience delivering enterprise-scale data lake or lakehouse implementations and complex data migrations.
• Strong programming and data engineering skills in SQL, Python, PySpark, or Scala.
• Experience with real-time and batch processing frameworks, including streaming technologies such as Kafka or Event Hub.
• Solid understanding of data governance, security models (IAM, RBAC, encryption), and compliance frameworks.
• Strong consulting, communication, and stakeholder management skills with the ability to translate business needs into technical architecture.
• Relevant cloud or data engineering certifications are highly desirable.

Benefits:

• Competitive compensation aligned with senior leadership and consulting responsibilities
• Remote-first flexibility with up to 50% travel across the United States
• Comprehensive health, dental, and vision insurance coverage
• Retirement savings support (e.g., 401k plans where applicable)
• Paid time off and flexible work arrangements
• Exposure to enterprise-scale transformation programs and leading-edge data technologies
• Career growth opportunities within a global digital consulting environment

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1