Databricks Solution Architect

Malvern, PA, US • Posted 1 hour ago • Updated 1 hour ago
Full Time
50% Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Apache Kafka
  • Apache Spark
  • Capital Market
  • Big Data
  • Data Quality
  • Data Governance
  • Asset Management
  • Amazon Web Services
  • Collaboration
  • Artificial Intelligence
  • Machine Learning (ML)
  • Mentorship
  • PySpark
  • Snow Flake Schema
  • Continuous Delivery
  • Data Integration
  • Change Data Capture
  • Apache Hadoop
  • Data Warehouse
  • Enterprise Resource Planning
  • Generative Artificial Intelligence (AI)
  • Regulatory Compliance
  • SQL
  • Real-time
  • Jenkins
  • Customer Relationship Management (CRM)
  • Amazon Redshift
  • BFSI
  • Electronic Health Record (EHR)
  • DevOps
  • Microsoft Azure

Summary

Role:  Databricks Solution Architect      
Exp: 14+yrs 
Location: Malvern, PA.
locals only.

ROLE DESCRIPTION:
•       Databricks: Lakehouse, Delta Lake, Unity Catalog, DLT, Databricks SQL, MLflow
•       Big Data: Spark, PySpark, Scala, Kafka, Streaming Architectures
•       Cloud: Azure Databricks, ADF, ADLS, Synapse, AWS S3, Glue, EMR, Redshift
•       Data Warehousing: Snowflake, Data Vault, Star/Snowflake Schema, CDC
•       Integration: REST APIs, Event-Driven Architecture, Enterprise SaaS/ERP/CRM integrations
•       DevOps: Terraform, Azure DevOps, GitHub Actions, Jenkins, CI/CD
•       Governance: Data Quality, Metadata Management, Security & Compliance
Preferred: Databricks, Azure, AWS, and TOGAF certifications with experience in BFSI, Capital Markets, Asset Management, or large enterprise environments.

Roles & Responsibilities
We are seeking a Databricks Solution Architect with 15+ years of experience in designing and delivering enterprise-scale data platforms, cloud modernization initiatives, and complex system integrations. The ideal candidate will lead architecture strategy, define scalable Lakehouse solutions, and collaborate with business, engineering, and enterprise stakeholders to enable data-driven transformation.
Key Responsibilities
•       Architect and implement enterprise data platforms using Databricks Lakehouse, Delta Lake, Unity Catalog, and Spark.
•       Design scalable batch, streaming, CDC, and real-time data integration solutions across enterprise applications.
•       Lead migration of legacy data warehouses, Hadoop ecosystems, and on-prem platforms to modern cloud architectures.
•       Define data governance, security, lineage, metadata management, and compliance frameworks.
•       Provide technical leadership, architecture governance, solution reviews, and mentoring for engineering teams.
•       Partner with business stakeholders to build analytics, AI/ML, and GenAI-ready data ecosystems.

Skills: Digital : Microsoft Azure~Digital : Amazon Web Service(AWS) Cloud Computing~Digital : DevOps~Digital : Databricks Digital : Jenkins

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: PTP4pnSUJdNrxnq
  • Position Id: 9096061
  • Posted 1 hour ago
Contact the job poster
Srinath Reddy

Srinath Reddy

Recruiter @ METANLYTICS LLC
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