Solution Architect – Databricks

Allwyn Corporation

Solution Architect designing AWS and Databricks data platforms for Allwyn. Leading Kafka streaming, data engineering pipelines, cloud modernization, and enterprise architecture governance.

Posted 8/7/2026full-timeRemote • 🇺🇸 United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing cloud-native data architectures using AWS and Databricks, with a strong focus on scalable data processing solutions and enterprise data platforms. Proven ability to lead technical teams, optimize data pipelines, and ensure compliance with security and governance standards.

Highest-signal resume keywords

AWS Data Platform DesignDatabricks Lakehouse ArchitectureApache Kafka ImplementationData Engineering and ETL/ELT DevelopmentCI/CD and Infrastructure as Code

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringETL/ELT Pipeline DevelopmentSQLPythonScalaDistributed SystemsCloud Architecture PrinciplesReal-Time Data ProcessingData ModelingIntegration Strategies

Soft Skills

Excellent CommunicationStakeholder ManagementTechnical LeadershipMentoring

Tools & Technologies

DatabricksApache KafkaDelta LakeSpark Structured StreamingTerraformKubernetesDocker

Certifications & Qualifications

Databricks Certified Data Engineer ProfessionalAWS Certification (Solutions Architect or Data Analytics)

Industry Keywords

Cloud-Native DevelopmentData IntegrationAnalytics SolutionsEnterprise Security StandardsCompliance Standards

Tech Stack

Tools & technologies

ApacheAWSCloudDistributed SystemsDockerETLKafkaKubernetesPythonScalaSDLCSparkSQLTerraform

About the role

Key responsibilities & impact

Design end-to-end cloud-native data architectures using AWS and Databricks
Architect scalable batch and real-time data processing solutions using Apache Kafka and streaming technologies
Lead the design and implementation of enterprise data engineering pipelines and data platforms
Define architecture standards, best practices, and governance for data integration and analytics solutions
Collaborate with business stakeholders to translate business requirements into scalable technical solutions
Provide technical leadership and architectural guidance to development teams throughout the SDLC
Optimize data pipelines for performance, scalability, security, and cost efficiency
Design data models and integration strategies for structured and semi-structured data
Ensure solutions adhere to enterprise security, compliance, and reliability standards
Evaluate emerging technologies and recommend innovative solutions to improve business capabilities
Support cloud migration and modernization initiatives
Mentor engineers and conduct architecture and design reviews

Requirements

What you’ll need

8+ years of experience in software, data engineering, or solution architecture
Strong experience designing enterprise data platforms on AWS
Hands-on expertise with Databricks and the Lakehouse architecture
Experience implementing Apache Kafka for real-time event streaming
Strong background in Data Engineering, including ETL/ELT pipeline development
Experience building scalable real-time and streaming data processing solutions
Strong understanding of distributed systems and cloud architecture principles
Experience with SQL, Python, or Scala
Knowledge of CI/CD, Infrastructure as Code, and cloud-native development practices
Excellent communication and stakeholder management skills
Databricks Certified Data Engineer Professional
Experience with AI/ML platforms or deploying machine learning solutions into production is preferred
Experience with Delta Lake, Spark Structured Streaming, or similar technologies is preferred
AWS Certification (Solutions Architect or Data Analytics) is preferred
Experience with Terraform, Kubernetes, or Docker is a plus

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Allwyn Corporation Website LinkedIn All Job Openings 51 - 200 employees Founded 2003 🤖 Artificial Intelligence 🏢 Enterprise 🤝 B2B Artificial Intelligence
Enterprise
B2B Allwyn Corporation is a US-headquartered technology consulting and services firm focused on helping organizations modernize IT and leverage data to drive operational efficiency. The company offers AI & Machine Learning, data analytics and business intelligence, enterprise applications, IT modernization, agile software delivery, low-code development, offshore delivery, and SATCOM engineering services. Allwyn positions itself as a partner for public-sector and utility leaders seeking digital transformation and cites customer success (e. g. , IBTS) for modernizing government-facing applications. Headquarters are in Herndon, VA with offices in New York and an offshore delivery center in Hyderabad, India. Solution Architect – Databricks Job not on LinkedIn 🔥 0 minutes ago 🇺🇸 United States – Remote ⏰ Full Time 🟠 Senior 🔴 Lead 💻 Solutions Engineer Apache AWS Cloud Distributed Systems Docker ETL Kafka Kubernetes Python Scala SDLC Spark SQL Terraform Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Design end-to-end cloud-native data architectures using AWS and Databricks
Architect scalable batch and real-time data processing solutions using Apache Kafka and streaming technologies
Lead the design and implementation of enterprise data engineering pipelines and data platforms
Define architecture standards, best practices, and governance for data integration and analytics solutions
Collaborate with business stakeholders to translate business requirements into scalable technical solutions
Provide technical leadership and architectural guidance to development teams throughout the SDLC
Optimize data pipelines for performance, scalability, security, and cost efficiency
Design data models and integration strategies for structured and semi-structured data
Ensure solutions adhere to enterprise security, compliance, and reliability standards
Evaluate emerging technologies and recommend innovative solutions to improve business capabilities
Support cloud migration and modernization initiatives
Mentor engineers and conduct architecture and design reviews 🎯 Requirements
8+ years of experience in software, data engineering, or solution architecture
Strong experience designing enterprise data platforms on AWS
Hands-on expertise with Databricks and the Lakehouse architecture
Experience implementing Apache Kafka for real-time event streaming
Strong background in Data Engineering, including ETL/ELT pipeline development
Experience building scalable real-time and streaming data processing solutions
Strong understanding of distributed systems and cloud architecture principles
Experience with SQL, Python, or Scala
Knowledge of CI/CD, Infrastructure as Code, and cloud-native development practices
Excellent communication and stakeholder management skills
Databricks Certified Data Engineer Professional
Experience with AI/ML platforms or deploying machine learning solutions into production is preferred
Experience with Delta Lake, Spark Structured Streaming, or similar technologies is preferred
AWS Certification (Solutions Architect or Data Analytics) is preferred
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