Nestortechnologies Inc
Nestortechnologies Inc

Data Architect with Databricks, Python, PySpark & AWS || $65/hr on C2C Max. || Remote || Must have Linkedin and 14+ years of exp. ||

Remote • Posted 40 minutes ago • Updated 12 minutes ago
Contract Corp To Corp
Contract W2
Contract Independent
12 Months
No Travel Required
Able to Sponsor
Remote
Up to $65/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Databricks
  • Python
  • AWS
  • PySpark
  • Spark SQL
  • ETL/ELT
  • data governance
  • Databricks workloads
  • CI/CD
  • Git
  • AWS S3
  • Glue
  • Lambda
  • IAM
  • SQL
  • Apache Spark

Summary

Data Architect (Databricks, Python & AWS)

Remote

Must have Linkedin and 14+ years of exp. 

Number of Positions: 4

 

Job Summary

We are seeking an experienced Data Architect with strong expertise in Databricks, Python, and AWS to design, develop, and implement scalable, secure, and high-performance data architecture solutions.

The ideal candidate will have extensive experience designing cloud-based data platforms, developing data pipelines, implementing data integration solutions, and optimizing large-scale data processing environments.

Required Skills

  • Strong experience with Databricks architecture and development.
  • Advanced Python programming and development.
  • Extensive experience with AWS cloud services.
  • Data architecture, data modeling, and database design.
  • Designing and developing scalable ETL/ELT pipelines.
  • Data ingestion, transformation, and integration.
  • Apache Spark / PySpark.
  • Databricks Delta Lake and Lakehouse architecture.
  • AWS S3, Glue, Lambda, IAM and related services.
  • SQL and database performance optimization.
  • Data governance, security, and access management.
  • CI/CD, Git and deployment automation.

Key Responsibilities

  • Design and implement enterprise-level data architecture using Databricks and AWS.
  • Develop scalable data pipelines using Python, PySpark, and Spark SQL.
  • Architect cloud-based data lake and lakehouse solutions.
  • Integrate data from multiple sources into centralized data platforms.
  • Implement ETL/ELT workflows and optimize data processing.
  • Establish data governance, security, and quality standards.
  • Optimize Databricks workloads and AWS infrastructure for performance and scalability.
  • Collaborate with engineering, business, and technical teams.
  • Prepare technical architecture documentation and implementation guidelines.

Candidate Requirements

  • Strong hands-on Databricks, Python, and AWS experience.
  • Experience designing enterprise-scale data platforms.
  • Excellent communication and technical documentation skills.
  • Ability to work independently in a remote environment.

 

Thanks, 

KK

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91083845
  • Position Id: 9137899
  • Posted 40 minutes ago
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