Sr. Databricks Solutions Architect jobs in United States
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ECS · 4 weeks ago

Sr. Databricks Solutions Architect

ECS is a leading mid-sized provider of technology services to the United States Federal Government. They are seeking a skilled Sr. Databricks Solutions Architect to join their Professional Services team, where the role involves providing technical guidance and support to customers in leveraging Databricks for advanced analytics and machine learning solutions.

Artificial Intelligence (AI)Cloud InfrastructureComplianceConsultingCyber SecurityInformation TechnologyMachine LearningSecuritySoftware
badNo H1BnoteSecurity Clearance RequirednoteU.S. Citizen Onlynote

Responsibilities

Lead customer engagements to design, build, and optimize Databricks-based architectures for advanced analytics, data engineering, and machine learning workloads
Develop scalable ETL/ELT pipelines and integrate with cloud platforms (AWS, Azure, or GCP)
Guide customers on data governance, security, and compliance best practices within Databricks environments
Consult on architecture, reference implementations, and best practices for leveraging Delta Lake, Unity Catalog, MLflow, and related Databricks capabilities
Assist customers with productionalizing data pipelines, machine learning workflows, and AI-driven applications
Provide escalated technical support for customer operational issues and help troubleshoot complex platform or workflow challenges
Collaborate with internal and Databricks teams, including Engineers, Architects, Project Managers, and Customer Success teams, to ensure engagement goals are met
Document technical designs, architecture patterns, deployment procedures, and lessons learned
Stay current on Databricks platform features, distributed computing trends, and emerging big data technologies
Deliver solutions that improve performance, scalability, and operational efficiency while meeting customer business objectives
Support Professional Services and Managed Services initiatives as needed, ensuring billable deliverables meet customer expectations

Qualification

DatabricksData EngineeringMachine LearningCloud IntegrationPythonSQLApache SparkETL/ELT PipelinesData GovernanceCustomer CommunicationConsulting ExperiencePerformance TuningData VisualizationDocumentation Skills

Required

US Secret Clearance required
7+ years of experience in Data Engineering
10+ years of consulting experience, preferably in data platform or analytics-focused engagements
Completion of 6-8 hands-on projects with Databricks in production environments
Proven experience with Databricks, including Spark, Delta Lake, MLflow, and cloud integration
Strong proficiency in Python and/or SQL for data engineering and analytics
Deep understanding of distributed computing concepts and Apache Spark runtime internals
Hands-on experience designing and deploying end-to-end big data and machine learning solutions
Familiarity with data modeling, performance tuning, and production-grade pipeline design
Experience working directly with customers in a consulting or professional services capacity
Ability to manage technical scope, timelines, and delivery while maintaining excellent customer communication
Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent professional experience
Willingness to travel up to 30% for customer engagements

Preferred

Master's or PhD in Computer Science, Data Science, or related field
Experience implementing MLOps pipelines and productionizing machine learning workflows
Knowledge of CI/CD, version control (Git), and infrastructure-as-code tools (Terraform, ARM, CloudFormation)
Exposure to streaming data technologies (Kafka, Kinesis, Event Hubs)
Familiarity with data visualization tools (Tableau, Power BI, Looker)
Experience with regulatory compliance frameworks (HIPAA, FedRAMP, SOC2)
Prior consulting experience with technical project delivery in enterprise environments
Strong documentation, whiteboarding, and customer presentation skills

Company

ECS is a fast-growing 4,000-person, $1.2B provider of advanced technology solutions for federal civilian, defense, intelligence, and commercial customers.

Funding

Current Stage
Late Stage
Total Funding
unknown
2018-01-31Acquired
2015-04-10Private Equity

Leadership Team

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Keith McCloskey
VP / Chief Technology Officer
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Ryan Garner
Chief Financial Officer
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Company data provided by crunchbase