Haystack
← Back to Jobs
Technology
ME

Databricks Solution Architect

METANLYTICS LLCMalvern, PA🇺🇸United StatesPosted Sep 25, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Malvern, PA, United States
Posted
Yesterday
SQLScalaAWSMLflowSnowflakeAzureDatabricksGitHub ActionsHadoopJenkinsKafkaRESTRedshiftTerraformUnityVault

Job Description

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

Similar jobs