Spark Solutions Architect

Zachary Piper
United States
26 days ago
Apply on www.clearancejobs.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$150,000.0 - $250,000.0
Working hours
Regular working hours

Tech stack

Amazon Web Services Microsoft Azure Big Data Information Engineering Extract Transform Load (ETL) Data Warehousing Distributed Systems Python (Programming Language) Performance Tuning Query Optimization SQL Databases Google Cloud
+7 more
Cloud Platform System Apache Spark Information Technology Machine Learning Operations Data Pipelines Databricks Programming Languages

Job description

  • Design and implement scalable data pipelines and architectures using Apache Spark.
  • Optimize Spark jobs for performance and efficiency across large datasets.
  • Collaborate with clients to understand requirements and deliver technical solutions.
  • Support data engineering tasks including ETL, data warehousing, and query optimization.
  • Assist with integration of Spark-based solutions into cloud environments (AWS, Azure, GCP).
  • Provide technical guidance on best practices for big data processing and analytics.
  • Participate in short- to medium-term customer engagements, ensuring successful delivery of projects.

Requirements

Zachary Piper Solutions is seeking multiple Spark Solutions Architect(s) to support federal customers on a variety of programs. These roles focus on solutions architecting, big data engineering, optimization, and performance tuning using Apache Spark. The ideal candidate will have strong experience in data engineering, SQL query optimization, and distributed computing. Customer-facing skills and excellent communication are essential for success in this position.

Work Environment: Remote

Clearance: Minimum for a DoD Secret to TS/SCI (Polygraphs can be held), * Bachelor’s degree in computer science or related field required.

  • Minimum 5 years of experience in data engineering and solutions architecture.
  • Strong expertise in Apache Spark and performance optimization techniques.
  • Proficiency in SQL and experience with data warehousing and query tuning.
  • Familiarity with Python or Scala programming languages.
  • Working knowledge of cloud ecosystems (AWS, Azure, or GCP).
  • Excellent communication and customer-facing skills.
  • Ability to manage scope, timelines, and deliverables in technical projects. Preferred:

  • Experience with machine learning and data science concepts.
  • Familiarity with CI/CD pipelines and MLOps practices.
  • Knowledge of Databricks platform and big data architecture design.

Benefits & conditions

  • Salary Range: $150,000 - $250,000 (based on experience).
  • Benefits: Cigna medical, dental, vision, 401k, 20 days paid time off, 11 federal holidays, and sick leave as required by law. Application Period: Opens on 01/14/2025 and will be accepted for at least 30 days from the posting date.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.clearancejobs.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

1:41 min

Visualizing the complex developer journey for JVM ecosystems

Bobur Umurzokov · LIVE

2:04 min

Comparing offline data analytics with online stream processing

Artem Volk Artem Volk +1 · World Congress 2024

Videos

See all

Related articles

See all