Are you a hands-on Data Architect with deep expertise in Snowflake, Oracle Exadata, and enterprise data engineering? We're seeking an experienced technical leader to architect and optimize large-scale enterprise data platforms supporting analytics, AI/ML, and business intelligence initiatives.

Ideal Candidate: A hands-on Data Architect with 7+ years of experience designing and supporting enterprise data platforms. The ideal candidate has advanced expertise in Snowflake, Oracle Exadata, SQL, ETL/ELT, and Azure or AWS, along with experience building scalable data pipelines using tools such as dbt, Airflow, ADF, Databricks, Informatica, or Talend. They excel at designing modern data models, optimizing performance, implementing governance and DataOps best practices, and delivering secure, high-performance data solutions that support enterprise analytics and AI/ML initiatives.

MUST-HAVE Experience
7+ years of experience in:
Data Architecture
Data Engineering
Enterprise Data Platforms

Advanced hands-on experience with:

Snowflake
Oracle Exadata
Performance Tuning
RBAC
Resource Management
Snowflake Streams
Tasks
Data Sharing

Strong experience with:

SQL
ELT/ETL Architecture & Development
Azure and/or AWS Cloud Data Services

Expertise designing enterprise analytical data models:

Star Schema
Snowflake Schema
Data Vault
Semantic Layers

Experience building enterprise-scale data pipelines using tools such as:
dbt
Apache Airflow
Azure Data Factory (ADF)
Databricks
Informatica
Talend
or similar enterprise data integration platforms

Experience with:

Dataiku
Data Quality
Data Observability
Pipeline Monitoring
DataOps / CI-CD

Responsibilities

You'll serve as the technical authority for enterprise data architecture by:
Designing scalable batch, streaming, and real-time data pipelines
Defining enterprise Snowflake architecture and governance
Optimizing Oracle Exadata and Snowflake performance
Building secure, governed, cost-efficient cloud data platforms
Establishing enterprise standards for ELT, metadata, monitoring, and DataOps
Supporting analytics, reporting, AI/ML, and self-service BI initiatives
Mentoring engineering teams and driving architecture best practices

Preferred

Snowflake Certification
Databricks Certification
Azure Certification
Informatica Certification

Soft Skills
Excellent communication skills
Strong leadership and mentoring abilities
Ability to collaborate across architecture, engineering, analytics, security, and business teams

If you're interested, send your Word resume along with:

Current Location
Work Authorization
Availability
Desired Rate

The hourly rate for this position is $79.28.

TM Floyd & Company is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.

We offer a generous array of benefits, depending on the length of assignment. We also offer a referral bonus of up to $1,000. Ask us for more details!