Enterprise Data Architect

TITLE: Enterprise Data Architect
LOCATION: Atlanta, GA (hybrid)
POSITION TYPE: Direct Hire

Responsibilities:

• Own the end-to-end architecture and strategic direction of the Azure Databricks Lakehouse platform, including data ingestion, storage, processing, governance, and consumption frameworks.
• Define and maintain enterprise architecture standards for the Lakehouse, including medallion design patterns, Delta Lake implementation, data modeling, metadata management, and platform scalability.
• Architect and oversee near-real-time and batch replication of Customer Information System (CIS) data, ensuring data accuracy, integrity, and compliance.
• Design and govern integration patterns supporting downstream applications, enabling secure and reliable data consumption.
• Serve as the final architectural approval authority for standards, design patterns, data integration approaches, and technology decisions within the Customer Data Platform ecosystem.
• Partner with data science, analytics, and business teams to establish scalable and secure architectural patterns supporting machine learning, AI, and advanced analytics.
• Provide oversight and governance for vendor, consulting, and system integration partners, fostering collaboration aligned with enterprise standards.
• Establish standards and best practices for data quality, lineage, cataloging, observability, and governance using tools such as Unity Catalog.
• Lead architecture decisions for Change Data Capture (CDC), streaming, and data integration technologies.
• Define logical and physical data models supporting operational reporting, BI, analytics, and regulatory compliance.
• Collaborate with cybersecurity and compliance teams to implement controls for data protection and privacy.
• Design and maintain architecture patterns supporting high availability, disaster recovery, and operational resilience.
• Provide technical leadership for Data Engineering teams, including architecture reviews, design guidance, and mentorship.
• Develop and maintain architecture artifacts such as reference architectures, data flow diagrams, ADRs, standards, and platform roadmaps.
• Support capacity planning and platform cost optimization activities.
• Evaluate emerging technologies and industry best practices to improve the Lakehouse platform.
• Support incident investigations and platform improvement initiatives to enhance reliability and performance.
• Serve as the enterprise authority on customer, billing, metering, and utility data architecture, ensuring consistency and interoperability.

Requirements:

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field.
• Minimum of 8 years of experience in data architecture, data engineering, or analytics platform engineering.
• At least 3 years in a senior architecture or technical leadership role.
• Demonstrated experience designing and governing large-scale cloud data platforms, preferably Azure-based Lakehouse architectures.
• Deep expertise with Azure Databricks, Delta Lake, Azure Data Lake Storage Gen2, Unity Catalog, and related Azure data services.
• Strong experience with data ingestion, replication, ETL/ELT, and streaming architectures.
• Experience with Apache Spark, Databricks Workflows, Delta Live Tables, Structured Streaming, Event Hubs, Kafka, or similar technologies.
• Knowledge of data modeling principles, including dimensional modeling, Data Vault, and Lakehouse patterns.
• Experience with data quality, metadata management, lineage, and data governance tools.
• Understanding of CDC technologies and replication frameworks such as Qlik Replicate, HVR, Fivetran, Debezium, or GoldenGate.
• Experience designing secure data architectures, including access control, encryption, masking, and compliance standards.
• Familiarity with platform resiliency, high availability, disaster recovery, and observability practices.
• Proven ability to establish architecture standards and drive implementation across teams.
• Ability to develop architecture artifacts such as reference architectures, data flow diagrams, and strategic roadmaps.
• Strong collaboration skills with enterprise stakeholders, vendors, and partners.
• Excellent communication and decision-making skills.

The compensation range for this position is $150,000.00 to $167,000.00 (dependent on factors including but not limited to client requirements, experience, statutory considerations, and location). Benefits available to full-time employees: medical, dental, vision, disability, life insurance, 401k, and commuter benefits.

Synergis is proud to be an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, ethnicity, national origin, religion, age, gender, gender identity, political affiliation, sexual orientation, marital status, disability, military/veteran status, or any other status protected by applicable law.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with the requirements of applicable state and local laws, including but not limited to, the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

For immediate consideration, please forward your resume to Applications@Synergishr.com.

If you require assistance or an accommodation in the application or employment process, please contact us at Applications@Synergishr.com.

Synergis is a workforce solutions partner serving thousands of businesses and job seekers nationwide. Our digital world has accelerated the need for businesses to build IT ecosystems that enable growth and innovation along with enhancing the Total Experience (TX). Synergis partners with our clients at the intersection of talent and transformation to scale their balanced teams of tech, digital, and creative professionals. Learn more about Synergis at www.synergishr.com.