Tekfortune Inc.
Tekfortune Inc.

Databricks Architect (Only W2)

Remote • Posted 7 hours ago • Updated 7 hours ago
Contract W2
12 Months
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • ADF
  • Amazon Kinesis
  • Amazon Web Services
  • Analytics
  • Apache HTTP Server
  • Apache Spark
  • Business Intelligence
  • Cloud Computing
  • Collaboration
  • Continuous Delivery
  • Continuous Integration
  • Data Architecture
  • Data Engineering
  • Data Governance
  • Data Integration
  • Data Processing
  • Data Warehouse
  • Databricks
  • DevOps
  • Extract
  • Transform
  • Load
  • Good Clinical Practice
  • Google Cloud Platform
  • IT Management
  • Identity Management
  • Machine Learning Operations (ML Ops)
  • Mentorship
  • Microsoft Azure
  • Microsoft Power BI
  • Migration
  • Optimization
  • Orchestration
  • PySpark
  • Real-time
  • Regulatory Compliance
  • SQL
  • Scalability
  • Security Controls
  • Snow Flake Schema
  • Streaming
  • Tableau
  • Unity
  • Workflow
  • Databricks Architect
  • Azure Data Factory (ADF)
  • Snowflake

Summary

Job title - Databricks Architect

Location - Remote (Bolingbrook, IL)

Snowflake, Azure Data Factory (ADF), Databricks

Role Summary:

The Databricks Architect is responsible for designing, implementing, and governing enterprise-scale data platforms on Databricks. The role focuses on data architecture, cloud integration, data engineering best practices, analytics enablement, and platform optimization across Azure, AWS, or Google Cloud Platform environments.

Responsibilities

  • Design and implement scalable data Lakehouse architectures using Databricks.
  • Define enterprise data models, governance standards, and security controls.
  • Lead migration of legacy data warehouses and ETL workloads to Databricks.
  • Architect batch and real-time data processing solutions using Spark.
  • Optimize performance, scalability, reliability, and cost efficiency.
  • Collaborate with business stakeholders, data engineers, data scientists, and cloud architects.
  • Establish CI/CD, monitoring, and operational best practices for data platforms.
  • Provide technical leadership and mentor engineering teams.

Required Skills

  • 8+ years of data engineering and data platform experience.
  • 3+ years of hands-on Databricks architecture experience.
  • Strong expertise in Apache Spark, PySpark, SQL, and Delta Lake.
  • Experience with Azure Databricks, AWS Databricks, or Google Cloud Platform Databricks.
  • Strong expertise in streaming platforms: Google Cloud Platform Pub/Sub, Azure Event Hubs, AWS Kinesis, Apache Kafka
  • Hands-on experience with producer/consumer architecture decisions and trade-offs.
  • Knowledge of data lakehouse architecture and data governance.
  • Experience with data integration tools and orchestration frameworks.
  • Strong understanding of security, access management, and compliance requirements.

Preferred Skills

  • Databricks Certified Data Engineer Professional or equivalent.
  • Experience with Unity Catalog, Delta Live Tables, and Databricks Workflows.
  • Experience with Power BI, Tableau, or other BI platforms.
  • Knowledge of DataOps, DevOps, and MLOps practices.

Education

  • Bachelor s degree in computer science, Engineering, Information Systems, or related field.
  • Master's degree preferred.
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: 90941404
  • Position Id: 9112375
  • Posted 7 hours ago
Contact the job poster
Ankit Verma

Ankit Verma

Tekfortune Inc. Recruiter @ Tekfortune Inc.

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