Job Description
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.
- 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
- 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
Numbers & Facts
| Location | Washington, DC |
| Industry | Staffing/Employment Agencies |
| Company Size | 500 to 999 employees |
| Year Founded | 2000 |
| Website | https://conv.com/ |
About Company
"An Opportunity to Help"
It started on day one. Convergenz, LLC began in July 2000, at what was fast evolving into the “Dot Com bust” and a rapid rise in unemployment. Our own customers were getting laid off en masse and sending us their resumes, desperate for work. Despite the recession that followed, little by little, we were able to successfully help find people opportunities; and as a company survive this difficult time in our economy. Over ten years later, our mission of connecting people with jobs has never seemed more important.
By the nature of the Staffing Industry, Convergenz is in a unique position to help, and positively affect peoples’ lives. For over a decade we have been able to assist professionals through historically turbulent times in the American economy. From the Dot-Com bubble, through the post 9/11 wave of layoffs, and the “Great Recession” of 2008—we have been able to offer help and resources to people who have needed access to new career opportunities. Whether it was making a major career change, or simply needing to be placed on a contract assignment to get through “right now”—we hope that we are able to help our consultants and clients through these times of uncertainty.
When we think of what sets us apart from our competition, we immediately come back to the fact that we have big company success but do it with a small company touch. Hands on, no red-tape, responsive to peoples’ needs, inquiries, and requests. In other words—Provide Great Service All the Time. When we founded Convergenz, we set out to build a firm that we would want to work for. Be a successful business – but do it the right way, in the boardroom and in the community.
Every day is an exercise in self-reflection —we look to get better, to learn, and grow. We set out to make a positive difference every day, and take pride in the results.
It started on day one. Convergenz, LLC began in July 2000, at what was fast evolving into the “Dot Com bust” and a rapid rise in unemployment. Our own customers were getting laid off en masse and sending us their resumes, desperate for work. Despite the recession that followed, little by little, we were able to successfully help find people opportunities; and as a company survive this difficult time in our economy. Over ten years later, our mission of connecting people with jobs has never seemed more important.
By the nature of the Staffing Industry, Convergenz is in a unique position to help, and positively affect peoples’ lives. For over a decade we have been able to assist professionals through historically turbulent times in the American economy. From the Dot-Com bubble, through the post 9/11 wave of layoffs, and the “Great Recession” of 2008—we have been able to offer help and resources to people who have needed access to new career opportunities. Whether it was making a major career change, or simply needing to be placed on a contract assignment to get through “right now”—we hope that we are able to help our consultants and clients through these times of uncertainty.
When we think of what sets us apart from our competition, we immediately come back to the fact that we have big company success but do it with a small company touch. Hands on, no red-tape, responsive to peoples’ needs, inquiries, and requests. In other words—Provide Great Service All the Time. When we founded Convergenz, we set out to build a firm that we would want to work for. Be a successful business – but do it the right way, in the boardroom and in the community.
Every day is an exercise in self-reflection —we look to get better, to learn, and grow. We set out to make a positive difference every day, and take pride in the results.
Skills
- Agile Programming Methodologiesunmatched
- Amazon Elastic Compute Cloud (EC2)unmatched
- Amazon Web Services (AWS)unmatched
- Apache Hadoopunmatched
- Apache Luceneunmatched
- Apache Sparkunmatched
- Architectural Analysisunmatched
- Artificial Intelligence (AI)unmatched
- Best Practicesunmatched
- Big Dataunmatched
- Business Intelligenceunmatched
- Business Intelligence Softwareunmatched
- C++ Programming Languageunmatched
- Cloud Computingunmatched
- Communication Skillsunmatched
- Customer Support/Serviceunmatched
- Data Analysisunmatched
- Data Managementunmatched
- Data Migrationunmatched
- Data Modelingunmatched
- Data Modeling Toolsunmatched
- Data Processingunmatched
- Data Scienceunmatched
- Data Setsunmatched
- Data Visualizationunmatched
- Data Warehousingunmatched
- Database Analysisunmatched
- Database Extract Transform and Load (ETL)unmatched
- DevOpsunmatched
- Distributed Computingunmatched
- Elasticsearchunmatched
- Electronic Medical Recordsunmatched
- Enterprise Architectureunmatched
- GCP (Good Clinical Practices)unmatched
- Governmentunmatched
- Javaunmatched
- Machine Learningunmatched
- Messaging Middlewareunmatched
- Microsoft SQL Serverunmatched
- Microsoft Windows Azureunmatched
- MySQLunmatched
- NoSQLunmatched
- Object Oriented Programming (OOP) Languagesunmatched
- Oracle Databaseunmatched
- Position of Public Trustunmatched
- PostgreSQLunmatched
- Problem Solving Skillsunmatched
- Process Modelingunmatched
- Python Programming/Scripting Languageunmatched
- Query Analysisunmatched
- Query Optimizationunmatched
- R Programming Languageunmatched
- Relational Databases (RDBMS)unmatched
- Reporting Dashboardsunmatched
- SOLRunmatched
- SQL (Structured Query Language)unmatched
- SQL Databasesunmatched
- Sales Pipelineunmatched
- Scala Programming Languageunmatched
- Scripting (Scripting Languages)unmatched
- Software Administrationunmatched
- Software Designunmatched
- Software Development Lifecycle (SDLC)unmatched
- Structured Dataunmatched
- System Architectureunmatched
- Team Playerunmatched
- Unstructured Dataunmatched
- Web Interfaceunmatched
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