

AVIVA Talent Advisors
Databricks Data Warehouse Architect
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Databricks Data Warehouse Architect, offering a 6+ month remote contract in the EST timezone. Key skills include Databricks, AWS services, PySpark, and data warehousing. Candidates must be US citizens or Green Card holders.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
440
-
ποΈ - Date
October 12, 2025
π - Duration
More than 6 months
-
ποΈ - Location
Remote
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#Athena #Data Privacy #Data Engineering #GitHub #DevOps #Delta Lake #Terraform #Data Architecture #S3 (Amazon Simple Storage Service) #Data Pipeline #Leadership #AWS (Amazon Web Services) #Automation #"ETL (Extract #Transform #Load)" #Batch #GDPR (General Data Protection Regulation) #VPC (Virtual Private Cloud) #Compliance #Cloud #Data Science #SQL (Structured Query Language) #Spark (Apache Spark) #IAM (Identity and Access Management) #Datadog #Airflow #Azure DevOps #Redshift #AWS Glue #Azure #PySpark #Kafka (Apache Kafka) #Snowflake #Scala #Monitoring #Data Warehouse #Data Ingestion #Databricks #Lambda (AWS Lambda)
Role description
HIGHLIGHTS
β’ Fully Remote Role - in EST Timezone
β’ 6 Month+ Contract with Extension Potential
β’ US Citizen and Green Card Holders
β’ No 3rd Parties Please
ABOUT THE ROLE:
One of the largest companies in the Gaming industry is seeking a hands-on Data Architect with Data Warehouse Engineer expertise in Databricks (DBX) and AWS-native data services to spearhead the design and implementation of a new data warehouse instance for a major product line. This role will involve building from the ground upβarchitecting scalable pipelines, optimizing lakehouse performance, and integrating seamlessly with diverse real-time and batch data sources across AWS.
The ideal candidate is passionate about data architecture, thrives in fast-moving environments, and has a proven track record of setting up high-performance lakehouse platforms on Databricks with a strong foundation in data warehousing principles.
KEY RESPONSIBILITIES:
β’ Design and deploy a new Databricks Lakehouse instance tailored to the clientβs product-level data needs.
β’ Architect and implement robust data ingestion pipelines using Spark (PySpark/Scala) and Delta Lake.
β’ Integrate AWS-native services (S3, Glue, Athena, Redshift, Lambda) with Databricks for optimized performance and scalability.
β’ Define data models, optimize query performance, and establish warehouse governance best practices.
β’ Collaborate cross-functionally with product teams, data scientists, and DevOps to streamline data workflows.
β’ Maintain CI/CD, preferably DBX for data pipelines using GitOps and Infrastructure-as-Code.
β’ Monitor data jobs and resolve performance bottlenecks or failures across environments.
ABOUT YOU:
Databricks / Lakehouse Architecture
β’ End-to-end setup of Databricks workspaces and Unity Catalog
β’ Expertise in Delta Lake internals, file compaction, and schema enforcement
β’ Advanced PySpark/SQL skills for ETL and transformations
β’ AWS Native Integration
β’ Deep experience with AWS Glue, S3, Redshift Spectrum, Lambda, and Athena
β’ IAM and VPC configuration knowledge for secure cloud integrations
β’ Data Warehousing & Modeling
β’ Strong grasp of modern dimensional modeling (star/snowflake schemas)
β’ Experience setting up lakehouse design patterns for mixed workloads
β’ Automation & DevOps
β’ Familiarity with CI/CD for data engineering using tools like DBX, Terraform, GitHub Actions, or Azure DevOps
β’ Proficient in monitoring tools like CloudWatch, Datadog, or New Relic for data pipelines
Bonus/Nice to Have:
β’ Experience supporting gaming or real-time analytics workloads
β’ Familiarity with Airflow, Kafka, or EventBridge
β’ Exposure to data privacy and compliance practices (GDPR, CCPA)
ABOUT US
AVIVA Talent Advisors is a Certified Women Enterprise Business (WEB) executive search firm providing expertise in talent acquisition and talent intelligence. We take a human-centric approach to hiring niche talent and executives driving digital transformation across the enterprise. We're passionate about creating connections that bring talented people together and creating a platform for elevating women in leadership.
We are an Equal Employment and Affirmative Action employer F/M/Disability/Vet/Sexual Orientation/Gender Identity. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, national origin, sexual orientation, gender identity, disability, veteran status, sex age, genetic information, or any other legally protected basis.
HIGHLIGHTS
β’ Fully Remote Role - in EST Timezone
β’ 6 Month+ Contract with Extension Potential
β’ US Citizen and Green Card Holders
β’ No 3rd Parties Please
ABOUT THE ROLE:
One of the largest companies in the Gaming industry is seeking a hands-on Data Architect with Data Warehouse Engineer expertise in Databricks (DBX) and AWS-native data services to spearhead the design and implementation of a new data warehouse instance for a major product line. This role will involve building from the ground upβarchitecting scalable pipelines, optimizing lakehouse performance, and integrating seamlessly with diverse real-time and batch data sources across AWS.
The ideal candidate is passionate about data architecture, thrives in fast-moving environments, and has a proven track record of setting up high-performance lakehouse platforms on Databricks with a strong foundation in data warehousing principles.
KEY RESPONSIBILITIES:
β’ Design and deploy a new Databricks Lakehouse instance tailored to the clientβs product-level data needs.
β’ Architect and implement robust data ingestion pipelines using Spark (PySpark/Scala) and Delta Lake.
β’ Integrate AWS-native services (S3, Glue, Athena, Redshift, Lambda) with Databricks for optimized performance and scalability.
β’ Define data models, optimize query performance, and establish warehouse governance best practices.
β’ Collaborate cross-functionally with product teams, data scientists, and DevOps to streamline data workflows.
β’ Maintain CI/CD, preferably DBX for data pipelines using GitOps and Infrastructure-as-Code.
β’ Monitor data jobs and resolve performance bottlenecks or failures across environments.
ABOUT YOU:
Databricks / Lakehouse Architecture
β’ End-to-end setup of Databricks workspaces and Unity Catalog
β’ Expertise in Delta Lake internals, file compaction, and schema enforcement
β’ Advanced PySpark/SQL skills for ETL and transformations
β’ AWS Native Integration
β’ Deep experience with AWS Glue, S3, Redshift Spectrum, Lambda, and Athena
β’ IAM and VPC configuration knowledge for secure cloud integrations
β’ Data Warehousing & Modeling
β’ Strong grasp of modern dimensional modeling (star/snowflake schemas)
β’ Experience setting up lakehouse design patterns for mixed workloads
β’ Automation & DevOps
β’ Familiarity with CI/CD for data engineering using tools like DBX, Terraform, GitHub Actions, or Azure DevOps
β’ Proficient in monitoring tools like CloudWatch, Datadog, or New Relic for data pipelines
Bonus/Nice to Have:
β’ Experience supporting gaming or real-time analytics workloads
β’ Familiarity with Airflow, Kafka, or EventBridge
β’ Exposure to data privacy and compliance practices (GDPR, CCPA)
ABOUT US
AVIVA Talent Advisors is a Certified Women Enterprise Business (WEB) executive search firm providing expertise in talent acquisition and talent intelligence. We take a human-centric approach to hiring niche talent and executives driving digital transformation across the enterprise. We're passionate about creating connections that bring talented people together and creating a platform for elevating women in leadership.
We are an Equal Employment and Affirmative Action employer F/M/Disability/Vet/Sexual Orientation/Gender Identity. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, national origin, sexual orientation, gender identity, disability, veteran status, sex age, genetic information, or any other legally protected basis.