Steampunk

Data Solution Architect

Steampunk$140K — $180K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Ability to hold a position of public trust with the US government.
  • Bachelor's degree with 10+ years of experience in the industry.
  • 5+ years of coding experience in commercial software; strong problem-solving passion.
  • Direct experience in Data Solutions with big data tools (Databricks, Spark, Kafka).
  • Advanced SQL knowledge and experience with relational databases.

Responsibilities

  • Design data solutions in the cloud or on-premises using the latest technologies.
  • Architect migration of legacy data environments for performance and reliability.
  • Assess and design data models, workflows, and schemas.
  • Create and optimize ETL jobs and data pipelines.
  • Select BI tools and design dynamic dashboards for reporting.
  • Support data scientists in designing machine learning and AI applications.
  • Address technical inquiries about data product integrations and features.

Benefits

  • Comprehensive health coverage including medical, dental, and vision.
  • Generous paid time off policy and flexible work arrangements.
  • Opportunities for professional development and continuous learning.
  • Retirement savings plan with company match.
Full Job Description
Overview

We are looking for seasoned Data Solution Architect to work with our team and our clients to develop enterprise grade data platforms, services, pipelines, data models, visualizations, and more! The Data Solution Architect needs to be a technologist with excellent communication and customer service skills and a passion for data and problem solving. This role spans the spectrum of data capabilities, from data vision and strategy all the way through data science.

 

Contributions
  • Designing greenfield data solution stacks in the cloud or on premises, using the latest data services, products, technology, and industry best practices
  • Architecting migration of legacy data environments with performance and reliability
  • Data Architecture contributions include assessing and understanding historical and current data sources, data models and schemas, and data workflows
  • Data Engineering contributions include assessing, understanding, and designing ETL jobs, data pipelines, and workflows
  • BI and Data Visualization contributions include assessing, understanding, and designing reports, selecting BI tools, creating dynamic dashboards, and setting up data pipelines in support of dashboards and reports
  • Data Science contributions include assessing, understanding, and designing machine learning and AI applications, designing MLOps pipelines, and supporting data scientists
  • Addressing technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products
  • Experience in crafting data lakehouse solutions (Preferably Databricks). This includes relational databases, data warehouses, data lakes, and distributed data systems.
  • Key must have skill sets – broad understanding of data exploitation lifecycle and capabilities and the ability to effectively communicate progress to technical and non-technical stakeholders
  • Experiencing supporting each step within the Agile software development lifecycle and in gathering and executing upon technical requirements
  • You will contribute to the growth of our AI & Data Exploitation Practice!

 

Qualifications
  • Ability to hold a position of public trust with the US government.
  • Bachelor's degree and 10+ years of total experience. 
  • 5+ years industry experience coding commercial software and a passion for solving complex problems. 
  • 5+ years direct experience in Data Solutions with experience in tools such as:
    • Big data tools: Databricks, Spark, Kafka, etc.
    • Relational SQL databases, such as Postgres, MySQL, MS SQL Server, Oracle, etc.
    • Data pipeline and workflow management within the cloud or big data toools
    • AWS cloud services such as EC2, RDS, Redshift, Glue
    • Data streaming systems: Storm, Spark-Streaming, etc.
    • Data science tools/languages: Python (data preparation and analysis librarie0s), Databricks, etc.
  • Advanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases.
  • Experience with DBOps and MLOps frameworks and exposure/understanding of DevOps
  • Experience with message queuing, stream processing, and highly scalable 9big data data stores.
  • Experience manipulating, processing, and extracting value from large, disconnected datasets.
  • Experience manipulating structured and unstructured data for analysis.
  • Experience constructing complex queries to analyze results using databases or in a data processing development environment.
  • Experience with data modeling tools and process.
  • Experience architecting data systems (transactional and warehouses).
  • Experience aggregating results and/or compiling information for reporting from multiple datasets.
  • Experience working in an Agile and fast-evolving mission environments. 
  • Experience supporting project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/machine learning models.

 

About steampunk

Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $140,000 to $180,000.  The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunks total compensation package for employees. Learn more about additional Steampunk benefits here. 

 

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

 

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