Senior Databricks Data Architect - Ridgefield Park - Lorven Technologies Inc.

Description

Role: Senior Databricks Data Architect (AWS)

Location: Ridgefield Park, New Jersey 07660

12 Contract onsite position - This role requires 100% onsite presence Monday through Friday and will cover core business hours based on the EST time zone.

JOB DESCRIPTION

JOB TITLE: Senior Databricks Data Architect (AWS) - Hands-On Technical Lead

PURPOSE OF THE JOB:

• Lead the strategic design and architectural roadmap of the Enterprise Data Platform on Databricks/AWS while remaining actively hands-on in design, prototyping, coding, and performance tuning.
• To provide high-level technical consultancy and solution design to internal business stakeholders and external partners, acting as the bridge between complex business requirements and technical implementation.
• To govern the technical quality of the platform by establishing design standards, conducting code reviews, and guiding the engineering team on best practices for Databricks Serverless and AWS integration.
• As part of the role, you will be required to provide technical assurance for all major data initiatives, ensuring that solutions are robust, cost-effective, and compliant with enterprise security standards.

EDUCATION:

• Educated to degree level in Computer Science, Engineering, or equivalent (Master's degree preferred)

SKILLS AND ATTRIBUTES:

Essential –

• Exceptional "Customer Facing" skills: proven ability to lead workshops, manage stakeholder expectations, and present complex technical solutions to non-technical audiences.
• Minimum 8-10 years' experience in Data Engineering/Architecture, with at least 4 years specialized in Databricks and AWS.
• Expert-level knowledge of Data Lakehouse Architecture, Delta Lake internals, and Spark optimization strategies.
• Proven experience in Data Modeling (Dimensional, Vault, Relational) and designing complex ETL/ELT pipelines.
• Advanced hands-on coding proficiency in Python and SQL, with the ability to write clean, production-ready, and testable code.
• Strong experience with Databricks Serverless architecture, Unity Catalog implementation, and security patterns.
• Deep understanding of Cloud Architecture (AWS Well-Architected Framework), including networking, storage (S3), and IAM.
• Experience in Design Review and Code Review processes, capable of constructive critique and enforcing standards.
• Detailed knowledge of DevOps principles (IaC with Terraform, CI/CD pipelines).
• Knowledge of the MS Office suite (Word, Excel, PowerPoint, Outlook) – specifically for creating architectural diagrams and presentations.
• Very strong relationship building and influencing skills at a senior level.
• Strategic thinking with the ability to balance immediate business needs with long-term architectural vision.

EXPERIENCE:

Essential -

• 8+ years of experience in Data Architecture and Engineering.
• Extensive experience designing solutions on the Databricks platform.

Advantage -

• Strong experience working with large-scale enterprises or as a Consultant for big agencies.
• Certified Databricks Data Architect or AWS Solutions Architect (Professional).
• Excellent organizational and planning skills, with an ability to manage architectural backlogs.
• A best-in-class technical leader proactively driving business innovation and process improvements.
• Languages: Python, SQL, Scala.
• Experience designing APIs for data consumption.
• Experience with Enterprise Architecture frameworks (TOGAF).