

Net2Source Inc.
Data Architect-Data Bricks
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Architect specializing in Databricks, based in NYC, NY, on a contract basis. Requires strong experience in AWS, Databricks, Snowflake, and data governance. Key skills include Spark, PySpark, SQL, and AI initiatives.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 25, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New York, NY
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🧠 - Skills detailed
#Delta Lake #Airflow #Scala #Data Management #Lambda (AWS Lambda) #Tableau #Cloud #Data Architecture #Metadata #Data Engineering #Security #Data Pipeline #Snowflake #Data Governance #Batch #Data Quality #Leadership #Observability #Spark (Apache Spark) #S3 (Amazon Simple Storage Service) #SQL (Structured Query Language) #AWS (Amazon Web Services) #Data Bricks #Spark SQL #PySpark #IAM (Identity and Access Management) #AI (Artificial Intelligence) #Databricks #BI (Business Intelligence) #Microsoft Power BI
Role description
Role : Data Architect - Data Bricks
Location: NYC ,NY (Onsite)
Position Type : Contract
Job Description
Strong Data Engineer with experience primarily on Databricks and secondary experience with Snowflak
e1. Design and implement scalable cloud data platforms using AWS, Databricks, and Snowflake
.2. Build and optimize Lakehouse architectures leveraging Medallion (Bronze/Silver/Gold) patterns, Delta Lake, and modern data warehousing principles
.3. Develop and maintain batch, streaming, and real-time data pipelines using Spark, PySpark, SQL, Airflow, Glue, and AWS services
.4. Establish enterprise data governance through Unity Catalog, Snowflake Governance, metadata management, lineage, and data quality frameworks
.5. Architect secure, scalable, and cost-efficient solutions across AWS services including S3, Lambda, Glue, MWAA, Kinesis, and IAM
.6. Design semantic data models, curated data products, and reporting layers supporting Power BI, Tableau, Domo, and self-service analytics
.7. Lead AI/GenAI initiatives utilizing Databricks Genie, Snowflake Cortex, Cortex Analyst, Cortex Search, Amazon Bedrock, OpenAI, and enterprise AI platforms
.8. Implement RAG, vector search, AI agents, and conversational analytics solutions to improve business decision-making and productivity
.9. Collaborate with business, product, engineering, and analytics teams to translate requirements into scalable technical solutions
.10. Define architecture standards, best practices, and modernization roadmaps for enterprise data and AI platforms
.11. Drive platform performance, reliability, observability, security, and FinOps optimization initiatives
.12. Mentor engineers and architects while providing technical leadership for complex enterprise programs
.
Best Regar
ds,Bismillah Arzoo (
AB)
Role : Data Architect - Data Bricks
Location: NYC ,NY (Onsite)
Position Type : Contract
Job Description
Strong Data Engineer with experience primarily on Databricks and secondary experience with Snowflak
e1. Design and implement scalable cloud data platforms using AWS, Databricks, and Snowflake
.2. Build and optimize Lakehouse architectures leveraging Medallion (Bronze/Silver/Gold) patterns, Delta Lake, and modern data warehousing principles
.3. Develop and maintain batch, streaming, and real-time data pipelines using Spark, PySpark, SQL, Airflow, Glue, and AWS services
.4. Establish enterprise data governance through Unity Catalog, Snowflake Governance, metadata management, lineage, and data quality frameworks
.5. Architect secure, scalable, and cost-efficient solutions across AWS services including S3, Lambda, Glue, MWAA, Kinesis, and IAM
.6. Design semantic data models, curated data products, and reporting layers supporting Power BI, Tableau, Domo, and self-service analytics
.7. Lead AI/GenAI initiatives utilizing Databricks Genie, Snowflake Cortex, Cortex Analyst, Cortex Search, Amazon Bedrock, OpenAI, and enterprise AI platforms
.8. Implement RAG, vector search, AI agents, and conversational analytics solutions to improve business decision-making and productivity
.9. Collaborate with business, product, engineering, and analytics teams to translate requirements into scalable technical solutions
.10. Define architecture standards, best practices, and modernization roadmaps for enterprise data and AI platforms
.11. Drive platform performance, reliability, observability, security, and FinOps optimization initiatives
.12. Mentor engineers and architects while providing technical leadership for complex enterprise programs
.
Best Regar
ds,Bismillah Arzoo (
AB)






