Neotech Global
Databrick Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Databricks Architect in Los Angeles, CA or New York, requiring 7+ years in data engineering, 3+ years with Databricks, strong Spark and Delta Lake expertise, and preferred Databricks certifications. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
June 27, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Charlotte, NC
-
🧠 - Skills detailed
#GIT #MLflow #SQL (Structured Query Language) #PySpark #GCP (Google Cloud Platform) #Documentation #DevOps #Lambda (AWS Lambda) #Dataflow #REST (Representational State Transfer) #Data Processing #S3 (Amazon Simple Storage Service) #"ACID (Atomicity #Consistency #Isolation #Durability)" #Scala #Databricks #Vault #Cloud #Data Engineering #AWS (Amazon Web Services) #Azure DevOps #Spark SQL #Terraform #AWS S3 (Amazon Simple Storage Service) #ADLS (Azure Data Lake Storage) #Azure #BI (Business Intelligence) #REST API #ADF (Azure Data Factory) #Delta Lake #ML (Machine Learning) #Spark (Apache Spark)
Role description
Role : Databrick Architect
Location : Los Angeles CA or New York (onsite)
The Databricks Architect is responsible for designing, implementing, and optimizing scalable data analytics and data engineering solutions on the Databricks Lakehouse Platform. This role requires deep expertise in cloud platforms (Azure/AWS/GCP), distributed data processing, Delta Lake architectures, and modern data engineering practices. The architect will collaborate with cross-functional teams to define data strategies, ensure platform reliability, and enable advanced analytics, ML, and BI use cases.
Required Skills & Experience
Technical Skills
· 7+ years of experience in data engineering/architecture.
· 3+ years of hands-on experience with Databricks.
· Strong expertise in Spark, PySpark, SQL, and distributed data processing.
· Deep understanding of Delta Lake features: ACID transactions, OPTIMIZE, ZORDER, Auto Loader.
· Experience with workflow orchestration, jobs, and Databricks REST APIs.
· Hands-on expertise with at least one cloud platform:
o Azure (preferred): ADF, ADLS, Key Vault, Event Hub, Azure DevOps
o AWS: S3, Glue, Lambda, Kinesis
o GCP: GCS, Dataflow, Pub/Sub
· Familiarity with CI/CD, Git, DevOps, and Infrastructure-as-Code (Terraform preferred).
Soft Skills
· Strong analytical and problem-solving skills.
· Excellent communication and stakeholder management.
· Ability to lead design discussions and guide technical teams.
· Strong documentation and architectural blueprinting skills.
Preferred Qualifications
· Databricks certifications, such as:
o Databricks Certified Data Engineer Professional
o Databricks Certified Machine Learning Professional
o Databricks Lakehouse Fundamentals
· Experience with MLflow, Feature Store, or MLOps workflows.
· Experience working in regulated industries (BFSI, healthcare, etc.).
Share your resume to abhinav.p@neotechusa.com
Role : Databrick Architect
Location : Los Angeles CA or New York (onsite)
The Databricks Architect is responsible for designing, implementing, and optimizing scalable data analytics and data engineering solutions on the Databricks Lakehouse Platform. This role requires deep expertise in cloud platforms (Azure/AWS/GCP), distributed data processing, Delta Lake architectures, and modern data engineering practices. The architect will collaborate with cross-functional teams to define data strategies, ensure platform reliability, and enable advanced analytics, ML, and BI use cases.
Required Skills & Experience
Technical Skills
· 7+ years of experience in data engineering/architecture.
· 3+ years of hands-on experience with Databricks.
· Strong expertise in Spark, PySpark, SQL, and distributed data processing.
· Deep understanding of Delta Lake features: ACID transactions, OPTIMIZE, ZORDER, Auto Loader.
· Experience with workflow orchestration, jobs, and Databricks REST APIs.
· Hands-on expertise with at least one cloud platform:
o Azure (preferred): ADF, ADLS, Key Vault, Event Hub, Azure DevOps
o AWS: S3, Glue, Lambda, Kinesis
o GCP: GCS, Dataflow, Pub/Sub
· Familiarity with CI/CD, Git, DevOps, and Infrastructure-as-Code (Terraform preferred).
Soft Skills
· Strong analytical and problem-solving skills.
· Excellent communication and stakeholder management.
· Ability to lead design discussions and guide technical teams.
· Strong documentation and architectural blueprinting skills.
Preferred Qualifications
· Databricks certifications, such as:
o Databricks Certified Data Engineer Professional
o Databricks Certified Machine Learning Professional
o Databricks Lakehouse Fundamentals
· Experience with MLflow, Feature Store, or MLOps workflows.
· Experience working in regulated industries (BFSI, healthcare, etc.).
Share your resume to abhinav.p@neotechusa.com
