Azure Data Architect

This email is to inform you that Request ID 71864-1 has been released to you for see the details below for more information:

Request ID: 71864-1

Start/End Dates: 6/30/2026 - 12/31/2026

Tax Work Location: US Default

Job Title: Information TechnologyUSA - USAEnterprise Architect

Job Description: **Please strictly adhere to the following resume naming convention:

ALL CAPS NO SPACES B/T UNDERSCORES

PTNUSGBAMSREQIDCandidateBeelineID

i.e. PTNUS9999999SKIPJOHNSON0413

Bill Rate: $84/hr

MSP Owner: Tory Robinson

Location : Tampa FL - Onsite

Duration: 6 months

GBaMS ReqID:

Azure DataBricks Solution Architect

> We are looking for an experienced Databricks Architect with extensive knowledge in data engineering cloud platforms and advanced analytics. This role is pivotal in designing implementing and optimizing scalable data solutions on the Databricks platform.

As a key technical leader you will work closely with engineering data science and business teams to create secure high-performance and cost-efficient data pipelines and AI-driven systems.

**Key Responsibilities**

- Design and implement scalable data platforms and pipelines using Databricks (including Spark Delta Lake MLflow etc.).

- Work with stakeholders to develop modern data architectures that meet business requirements.

- Lead the migration from legacy platforms to the Databricks Lakehouse architecture.

- Establish data governance quality and security standards in collaboration with InfoSec and Compliance teams.

- Optimize data ingestion transformation and consumption processes.

- Mentor data engineers and developers on best practices for using Databricks.

- Integrate Databricks with enterprise tools such as Power BI Tableau Kafka Snowflake and others.

- Develop and implement machine learning/AI workflows within a Databricks environment.

- Collaborate with cloud architects to ensure a robust infrastructure setup on AWS Azure or GCP.

- Produce technical documentation architectural diagrams and data models.

**Required Qualifications**

- Over 8 years of experience in data engineering or architectural roles.

- More than 5 years of experience in architecting solutions with Databricks.

- Expertise in Apache Spark Delta Lake MLflow and Lakehouse architecture.

- Proficiency in SQL Python and/or Scala.

- Practical experience with cloud platforms such as AWS Azure or GCP.

- Strong understanding of distributed computing performance tuning and data security.

- Experience with CI/CD pipelines DevOps tools and orchestration tools like Airflow or Data Factory.

**Preferred Qualifications**

- Databricks Certified Data Engineer or Solutions Architect.

- Knowledge of MLOps and deploying machine learning models into production.

- Experience with data mesh data fabric or similar enterprise data architectures.

Role Descriptions: Databricks

Essential Skills: Databricks

Desirable Skills:

Keyword:

Skills: Digital : Databricks

Experience Required: 8-10