Data Architect

Description

The Amivero Team

Amivero’s team of IT professionals delivers digital services that elevate the federal government, whether national security or improved government services. Our human-centered, data-driven approach is focused on truly understanding the environment and the challenge, and reimagining with our customer how outcomes can be achieved. 

Our team of technologists leverage modern, agile methods to design and develop equitable, accessible, and innovative data and software services that impact hundreds of millions of people. 

As a member of the Amivero team you will use your empathy for a customer’s situation, your passion for service, your energy for solutioning, and your bias towards action to bring modernization to very important, mission-critical, and public service government IT systems.

Special Requirements

• US Citizenship required to obtain DHS Public Trust. Must be able to obtain the DHS Public Trust
• Bachelors 6 years of relevant experience.
• Must have strong Python and OLAP experience.

The Gist…

Our Data Architect will work as a part of a team responsible for developing enterprise grade data platforms, services, and pipelines. You will use your passion for data, background in problem solving and customer engagement to advance the build of this enterprise environment.

What Your Day Might Include…

• Lead and architect migration of data environments with performance and reliability.
• Assess and understand the ETL jobs, workflows, BI tools, and reports.
• Address technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products.
• Craft database / data warehouse solutions in cloud (Preferably AWS. Alternatively Azure, GCP).
• Support an Agile software development lifecycle.
• Manipulate, process and extract values from large, disconnected datasets. 
• Manipulate structured and unstructured data for analysis.
• Construct complex queries to analyze results using databases or in a data processing development environment.
• Architect data systems (transactional and warehouses)
• Aggregate results and/or compile information for reporting from multiple datasets.
• Model OLAP databases and visualize data using Tableau (or other technologies)
• Support project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/machine learning models.

Requirements

You'll Bring These Qualifications...

•  6 years industry experience coding commercial software and a passion for solving complex problems.
• 6 years direct experience in Data Engineering with experience in tools such as:
• Big data tools: Hadoop, Spark, Kafka, etc.
• Relational SQL and NoSQL databases, including Postgres and Cassandra.
• Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• AWS cloud services: EC2, EMR, RDS, Redshift (or Azure equivalents)
• Data streaming systems: Storm, Spark-Streaming, etc.
• Search tools: Solr, Lucene, Elasticsearch
• Object-oriented/object function scripting languages: Python, Java, C , Scala, etc.
• Expertise in Python
• Experience with data modeling tools and process (star schema, fact/ dimension etc.)
• Must have worked in an AWS environment.
• Experience with message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Should have experience in airflow.
• 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.

EOE/M/F/VET/DISABLED

All qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Amivero complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.