Full-Time

Director Databricks Platform Architect

Unity Catalog Enablement

Infinitive

Infinitive

51-200 employees

Technology consulting for organizational transformation

Compensation Overview

$170k - $215k/yr

McLean, VA, USA

In Person

Bachelor's, Master's

Category
Data & Analytics (1)
Required Skills
Microsoft Azure
Python
Apache Spark
SQL
Apache Kafka
MLflow
ETL
GraphQL
Infrastructure as Code (IaC)
Role-based Access Control
AWS
Terraform
Observability
OpenAPI
REST APIs
Data Governance
Databricks
Google Cloud Platform

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Requirements
  • A Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • At least 8 years of experience in data architecture or platform engineering, including designing enterprise-scale, distributed data environments.
  • Deep hands-on knowledge of Databricks, Delta Lake, Apache Spark, and Lakehouse principles.
  • Demonstrated success architecting and operationalizing Databricks Unity Catalog for enterprise governance, metadata management, and access control.
  • Advanced proficiency in Python with PySpark and SQL, plus experience with cloud data platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform.
  • A strong background in application programming interface architecture using Representational State Transfer, GraphQL, and OpenAPI, with best-in-class security and observability practices.
  • Expert-level understanding of data governance frameworks, data quality management, and regulatory compliance.
  • Strong communication and influence skills to advocate for design principles across executive, technical, and risk audiences.
Responsibilities
  • Define and champion the end-to-end architecture for the bank’s Databricks-based data platform, ensuring scalability, security, cost efficiency, and ease of adoption.
  • Design a self-service platform layer using Databricks Unity Catalog to deliver data discovery, access, and observability across environments.
  • Establish architectural patterns and reference implementations that encourage enterprise-wide reuse and standardization.
  • Lead the design and implementation of Databricks Unity Catalog as the central governance plane, including catalog hierarchies, fine-grained access controls, and cross-environment lineage.
  • Evaluate and implement metadata, role-based access control, attribute-based access control, and data masking capabilities to meet regulatory and compliance requirements such as GLBA, GDPR, and HIPAA.
  • Define the template architecture for Unity Catalog to operate as a scalable and cost-effective shared service across lines of business.
  • Engineer platform capabilities providing visibility into compute, storage, and catalog operations through integrated observability, monitoring, and financial operations practices.
  • Develop resource optimization strategies balancing performance and cost while maintaining compliance and service-level agreements.
  • Establish metrics, dashboards, and alerts to ensure predictable platform scaling under enterprise workloads.
  • Architect streamlined Representational State Transfer and GraphQL application programming interfaces for secure, governed data access and metadata integration.
  • Ensure interoperability with enterprise systems, application programming interfaces, and external data consumers using modern, consistent, documented integration patterns.
  • Guide teams in building Lakehouse-aligned data models that maximize reuse and governance.
  • Oversee extract, transform, and load/extract, load, and transform architectures using Spark, PySpark, and SQL, integrated with Unity Catalog for lineage and access tracking.
  • Partner with engineering, data science, and risk teams to align platform design with business outcomes and regulatory expectations.
  • Influence architecture steering committees and platform engineering groups to adopt Databricks as a managed, enterprise-wide service.
  • Promote easy adoption through clear design patterns, documentation, and working sessions.
  • Mentor engineers and architects on Databricks, Unity Catalog, and best practices for cost, scale, and observability.
  • Contribute to internal architecture communities and upskill teams across multiple domains.
Desired Qualifications
  • Experience deploying Databricks and cloud infrastructure using Terraform or infrastructure-as-code frameworks.
  • Familiarity with MLflow and model governance integration.
  • Databricks Certified Data Engineer or Amazon Web Services, Microsoft Azure, or Google Cloud Platform Architect certification.
  • Experience with real-time data-streaming technologies such as Kafka and Structured Streaming.

Infinitive is a transformation and technology consultancy that helps global brands achieve measurable results through strategy, technology enablement, and organizational change. Its services combine deep industry and technology expertise with tailored team placements to drive adoption of new capabilities and deliver a high return on investment. The company emphasizes matching its people to a client’s culture and building the right mix of talent and skills to sustain impact. Infinitive differentiates itself through its recognized strong workplace culture, which has earned coverage and awards from outlets like Inc. magazine, The Washington Post, Consulting Magazine, and the Washington Business Journal, and by prioritizing practical outcomes over flashy promises. The goal is to empower clients to transform operations and technology systems in a way that yields lasting improvements and business value.

Company Size

51-200

Company Stage

N/A

Total Funding

N/A

Headquarters

Ashburn, Virginia

Founded

2003

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See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • June 2026 Databricks events show active partner-selling and pipeline-building.
  • 2026 CoE and migration offerings target enterprise AI modernization budgets now.
  • 2025 Consulting Magazine recognition supports recruiting and retention against larger consultancies.

What critics are saying

  • M Corp d/b/a 11:59 sued Infinitive in 2024 for trade secrets theft.
  • 11:59 won a November 2024 TRO, signaling litigation exposure through 2025.
  • Small-firm dependence on reputation makes one adverse client dispute threaten enterprise sales.

What makes Infinitive unique

  • Databricks partner since 2026, packaging a Center of Excellence for governed adoption.
  • Infinitive serves Global 2000 clients across regulated sectors, including healthcare and financial services.
  • Founded 2003, Ashburn-based, 51-200 employees, combining consulting culture with technical delivery.

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Company News

Infinitive
Nov 7th, 2025
Data Migrations: How Infinitive Anticipates Challenges by Utilizing Databricks

Data migrations: how Infinitive anticipates challenges by utilizing Databricks. In a previous post, Infinitive, Inc. introduced the Infinitive Databricks Data Migration Accelerator, a strategic framework designed to fast-track your move to a modern lakehouse architecture. However, a successful migration isn't just about speed; it's about anticipating and mitigating the inevitable complexities that arise when moving foundational business data. Migrating financial or customer data, or any other type of sensitive data, can introduce risk to the operation efficiency of any organization. At Infinitive, Infinitive, Inc. leverage Databricks tools and its deep experience to proactively address these risks, transforming them from potential roadblocks into managed checkpoints. Data quality & testing. Risk: Inconsistent or poor-quality source data is the primary cause of downstream errors. Furthermore, verifying that millions of records have been accurately moved and transformed is often the most time-consuming part of the process. Proactive Solution: Part of its meta-data driven framework is performing automated data profiling and cleansing before the migration begins. Post-migration, Infinitive deploys its augmented Lakebridge data validation system to certify the data was not corrupted in transit. When put together, these rigorous quality checks ensure that your company's data is clean and consistent at key parts of the migration process. Additionally, its automated testing process reduces the amount of time spent manually validating records. Data scalability and latency. Risk: Migrating petabytes of data can overwhelm a target system, leading to performance degradation and cost spikes. Additionally, any disruption in data synchronized during the cutover window (data latency) could derail business operations. Proactive Solution: This is where Databricks Platform Capabilities shine. Infinitive, Inc. utilize the platform's massively parallel processing (MPP) architecture and open-source Delta Lake data storage to handle large datasets efficiently without compromising performance. For minimizing data latency, Infinitive, Inc. implement Change Data Capture (CDC) strategies, using Databricks' streaming capabilities to keep the old and new platforms in sync right up to the final, low-impact cutover. Data Transformation and dependencies. Risk: Source and target schemas are rarely identical, making Data Transformation and Schema Mapping complex. Adding to this complexity, data rarely exists in a vacuum; understanding Data Dependencies & Referential Integrity is vital to ensure related records are moved in the correct sequence. Proactive Solution: One of the greatest advantages of an automatic, meta-data driven pipeline is that the process of building data pipelines is streamlined. Infinitive, Inc. only need to update the metadata files and configurations for multiple pipelines can be updated all in one place, streamlining ongoing maintenance. To tackle data dependencies, Infinitive, Inc. apply decades of experience in granular process mapping and documentation. This experience, along with Databrick's robust processing engine, allows Infinitive to execute complex, multi-stage transformations efficiently, ensuring referential integrity is maintained throughout the process. Risk: The fear of a prolonged outage during cutover and downtime is a major deterrent for many organizations. Proactive Solution: Infinitive can prevent outages by provisioning the lakehouse as a parallel system to your company's current data solutions. Infinitive, Inc. then replicate your data and dependencies in Databricks until your systems are fully functional in the new environment, at which point Infinitive, Inc. will seamlessly cutover. This methodology ensures little downtime and no outages, so your company can still work as usual while the migration takes place. Risk: data security & compliance with regulations like GDPR or HIPAA already cause many companies headaches, even without trying to migrate data systems. Proactive Solution: For security, Infinitive, Inc. utilize Databricks Platform capabilities like Unity Catalog that are compliant with HIPAA, FEDRAMP High, IRAP, and many other regulatory standards. Additionally, Databricks itself is a GDPR compliant organization, and their platform can easily be configured to provide GDPR compliant services. Migrating your company's foundational data doesn't have to be a high-stakes gamble. At Infinitive, Infinitive, Inc. understand that minimizing risk, from ensuring data quality and managing scalability to preserving referential integrity and guaranteeing compliance, is just as important as the speed of your transition. By combining the powerful features of the Databricks Platform with its decades of practical industry experience and automation framework, Infinitive, Inc. transform data migration from a daunting challenge into a predictable, managed process. Stop letting the fear of downtime and data inconsistency keep you tied to legacy systems. Take the first step toward a more secure, efficient, and scalable lakehouse architecture and contact Infinitive today.

PR Newswire
Apr 14th, 2023
Infinitive Announces New Personalized Premium Content Streaming Soluti

ASHBURN, Va. (PRWEB). April 14, 2023. Infinitive, a leading transformation and technology consultancy, announced today Infinitive’s new Personalized Premium Content Streaming solution, built on the NOMAD intuitive cloud-based content and asset management platform powered by Amazon Web Services AI technology

PR Newswire
Apr 14th, 2023
Infinitive Announces New Retail Media First Party Data Analytics And M

“We have over 20+ years consulting in the retail and media space and understand the business and technology challenges our clients face daily.” said Denis McFarlane, CEO of Infinitive. “We are pleased to be able to help businesses optimize their First Party data to increase their revenue.” . .