Data Solution Architect
Indexed description
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
- 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.
- 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 AI & Data Exploitation Practice!
- Candidates should expect a hybrid schedule of roughly two days per week on-site, split between the client site and the Steampunk office.
- Ability to hold a position of public trust with the US government.
- Bachelor's degree in related field.
- 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, Hadoop, Spark, Kafka, etc.
- Relational SQL and NoSQL databases, such as Postgres, MySQL, MS SQL Server, Oracle, Mongo, etc.
- Data pipeline and workflow management tools: 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.
- Data science tools/languages: R, R Studio, Python (data preparation and analysis libraries), Databricks, etc.
- Search tools: 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, 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 environment
- Experience supporting project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/machine learning models
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. 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. 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.
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