55 минут назад
Sr. Databricks Solutions Architect
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Databricks Solutions Architect (Databricks/AI): Designing, implementing, and optimizing Databricks architectures, data pipelines, analytics workflows, and machine learning solutions for customer engagements with an accent on distributed computing, cloud integration, governance, and production delivery. Focus on building scalable ETL/ELT systems, productionizing AI-driven applications, troubleshooting complex platform issues, and delivering secure solutions for customers requiring a US Top Secret Clearance.
Location: Redstone Arsenal, Alabama, United States; Huntsville, Alabama. The position requires a US Top Secret Clearance and up to 30% travel for customer engagements. The role is contingent upon contract award.
Company
is the federal segment of Everforth, delivering technology solutions in data and AI, cybersecurity, and enterprise transformation for defense, intelligence, and federal civilian agencies.
What you will do
- Lead customer engagements designing, building, and optimizing Databricks architectures for advanced analytics, data engineering, and machine learning workloads.
- Develop scalable ETL/ELT pipelines and integrate Databricks environments with AWS, Azure, or GCP.
- Advise customers on data governance, security, compliance, reference architectures, and Databricks best practices.
- Productionize data pipelines, machine learning workflows, and AI-driven applications while improving performance, scalability, and operational efficiency.
- Provide escalated technical support, troubleshoot complex platform and workflow issues, and document technical designs and deployment procedures.
- Coordinate with customers, Databricks, engineers, architects, project managers, and customer success teams to deliver consulting and managed services engagements.
Requirements
- US Top Secret Clearance required.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent professional experience.
- 7+ years of data engineering experience and 10+ years of consulting experience, preferably in data platforms or analytics.
- Experience completing 6–8 hands-on Databricks projects in production, including Spark, Delta Lake, MLflow, and cloud integration.
- Strong Python and/or SQL skills, with deep knowledge of distributed computing, Apache Spark internals, data modeling, performance tuning, and production-grade pipelines.
- Experience working directly with customers, managing technical scope and delivery, and willingness to travel up to 30%.
Nice to have
- Master’s or PhD in Computer Science, Data Science, or a related field.
- Experience with MLOps, CI/CD, Git, infrastructure-as-code, and streaming technologies such as Kafka, Kinesis, or Event Hubs.
- Familiarity with Tableau, Power BI, Looker, and compliance frameworks including HIPAA, FedRAMP, or SOC2.
- Enterprise consulting experience, technical project delivery, documentation, whiteboarding, and customer presentations.
Culture & Benefits
- Mission-driven work supporting defense, intelligence, and federal civilian agencies.
- Environment focused on delivery excellence, innovation, accountability, and professional growth.
- Opportunities to collaborate with high-performing technical teams and technology partners.
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