Engineering Director

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)
• Solution Architecture & Pre-Sales Leadership
• 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
• Solution Delivery & Engineering Enablement
• 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
• Data Governance, Security & Compliance
• 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

Qualifications

• 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
• 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