Data Solution Architect

2 weeks ago

Bloomington, Illinois, United States Steampunk Full time
Data Solution Architect

At Steampunk, we are seeking a seasoned Data Solution Architect to work with our team and clients to develop enterprise-grade data platforms, services, pipelines, data models, visualizations, and more. The ideal candidate will be a technologist with excellent communication and customer service skills and a passion for data and problem-solving.

Key Responsibilities

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

Requirements

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.

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

About Steampunk

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. As an employee-owned company, we focus on investing in our employees to enable them to do the greatest work of their careers – and rewarding them for outstanding contributions to our growth.

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