jobapplier

Data Solution Architect

steampunk

Skills

Required

  • Azure
  • Hadoop
  • Spark
  • Kafka
  • Postgres
  • MySQL
  • MS SQL Server
  • Oracle
  • Airflow
  • Lucene
  • Python
  • Java
  • C++
  • Scala
  • SQL

Preferred

  • R Studio
  • Databricks
  • data modeling tools and process
  • aggregating results
  • analytics/machine learning models
  • migration
  • Data Architecture
  • data models

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.

Key must have skill sets – broad understanding of data exploitation lifecycle and capabilities Support an Agile software development lifecycle You will contribute to the growth of our Data Exploitation Practice!

About steampunk

Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges.

Responsibilities

  • 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 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

Requirements

  • Experience in crafting data lakehouse solutions in the cloud (Preferably AWS.
  • Alternatively, Azure, GCP).
  • This includes relational databases, data warehouses, data lakes, and distributed data systems.
  • Ability to hold a position of public trust with the US government.
  • 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: Hadoop, Spark, Kafka, etc.
  • Relational SQL and NoSQL databases, such as Postgres, MySQL, MS SQL Server, Oracle, Mongo, etc.
  • Airflow, NiFi, etc.
  • AWS cloud services such as EC2, EMR, RDS, Redshift, Glue, SageMaker (or Azure and GCP equivalents) Data streaming systems: Storm, Spark-Streaming, etc.
  • Solr, Lucene, Elasticsearch Object-oriented/scripting languages: Python, Java, C++, Scala, 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 ‘big data’ data stores.
  • 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 architecting data systems (transactional and warehouses)
  • Experience working in an Agile environment

Preferred

  • R, R Studio, Python (data preparation and analysis libraries), Databricks, etc.
  • Experience manipulating, processing, and extracting value from large, disconnected datasets.

Experience with data modeling tools and process

  • Experience aggregating results and/or compiling information for reporting from multiple datasets
  • Experience supporting project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/machine learning models

Pay

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 Steampunk’s 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. Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors.

If you want to learn more about our story, visit http://www.steampunk.com. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.