Engineering Director

Bridgenext is a digital consulting services leader that helps clients innovate with intention and realize their digital aspirations. They are seeking a highly experienced Engineering Director to serve as a Data Solutions Architect, responsible for leading enterprise data architecture and solutions across modern data platforms.

Responsibilities:

• Define and evolve the enterprise data architecture vision, including conceptual, logical, and physical data models
• Establish architecture standards for data platforms, integration patterns, data products, and domain-driven architectures (Data Mesh/Data Fabric)
• Act as the architecture authority for enterprise data initiatives, ensuring alignment with business goals and technology roadmaps
• Design end-to-end data ecosystems spanning ingestion through consumption, across structured and unstructured data
• Apply deep expertise in field-level data technologies, including Databricks, Snowflake, Microsoft Fabric, and cloud-native services (Data Lakes, Warehouses, Lakehouses)
• Architect and implement modern cloud data platforms using Azure, AWS, and GCP
• Design real-time and batch data processing frameworks, including streaming architectures (Kafka, Event Hub, Kinesis)
• Optimize platform security, performance, scalability, and cost using hands-on knowledge of distributed data systems and compute engines (Spark, Delta Lake, Iceberg)
• Partner with Sales and Solutioning teams to lead architecture-driven pre-sales efforts, including proposals, PoCs, and solution design
• Translate complex business needs into architectural blueprints, reference architectures, and implementation roadmaps
• Lead technical discussions with clients as a trusted advisor, bridging business and technology
• Own architecture for data pipelines, APIs, analytics platforms, and AI/ML-ready data foundations
• Guide engineering teams on best practices across data engineering, integration, and platform optimization
• Ensure implementation of data governance, metadata, lineage, and quality frameworks across solutions
• Provide hands-on oversight in critical builds and escalations, demonstrating strong field-level technical depth
• Define enterprise standards for data governance, security, and privacy (PII, RBAC, encryption) to meet client specific needs and expectations
• Ensure compliance with regulatory frameworks such as GDPR, CCPA, HIPAA
• Implement data lifecycle, retention, and auditability frameworks aligned with enterprise policies
• Serve as a technical leader within the Data Practice, helping shape offerings, accelerators, and reusable assets
• Mentor and coach data engineers, architects, and specialists on modern architecture and technologies
• Collaborate across consulting, delivery, and client teams throughout the engagement lifecycle
• Support contributions to RFP/RFI responses, including solution design and architecture artifacts

Requirements:

• 12+ years in data architecture, data engineering, or related roles, including 5+ years as a Solution/Data Architect
• Proven experience defining and delivering enterprise-scale data architecture strategies
• Strong understanding of architecture frameworks, cloud design patterns, and distributed systems
• Deep hands-on expertise across modern data platforms including Azure, AWS and GCP (and related services)
• Strong experience with Databricks including Lakehouse architecture, Delta Lake, MLflow, Unity Catalog, Spark optimization
• Experience with Microsoft Fabric including OneLake, Dataflows, Lakehouse, Notebooks, Semantic Models
• Proven delivery of 2–3+ enterprise Data Lake/Lakehouse implementations
• Expertise in ETL/ELT pipelines, batch and streaming architectures
• Strong programming skills: SQL, Python, PySpark, Scala
• Hands-on experience tuning Spark and distributed workloads
• Strong understanding of IAM, RBAC, encryption, and secure data architectures
• Experience with governance tools such as Azure Purview, AWS Glue Catalog, Unity Catalog
• Experience in a highly consultative environment with clients
• Microsoft Certified: Azure Solutions Architect / Data Engineer Associate
• AWS Certified: Solutions Architect or Big Data Specialty
• Databricks Certified: Data Engineer or Architect
• Experience with hybrid and multi-cloud environments
• Exposure to data product thinking, data mesh architectures, or domain-oriented design
• Experience migrating large data volumes from legacy, on-prem solutions to modern, cloud-native environments