Solution Architect

Introduction to ADVANA IVERTIX implements and manages state-of-the-art Data Platforms for its Government and defense clients. Built from the ground up in the cloud, these platforms enable organizations to support mission critical initiatives by leveraging advanced data analytics and machine learning capabilities. Advana is a multi-domain technology platform which offers military and business decision makers, analysts, and users at all levels unprecedented access to authoritative enterprise data and structured analytics in a scalable, reliable, and secure environment. Using one central data platform with timely data, tools, and self-service analytics products, the goal of Advana is to simplify solutions and put the power of analytics in the pocket of every analyst and decision-making authority at the Department of Defense. The Solution Architect – Role Description & Requirements In an increasingly connected world, massive amounts of structured and unstructured data open up endless opportunities. At Advana, our engineers ingest data in the platform, unlock secrets, explore new possibilities presented by the IoT, machine learning, and artificial intelligence advances. They turn complex data sets into valuable information to solve global challenges across private and public sectors — from fraud detection to cancer research to national intelligence — they know, the answers are in the data. The Solution Architect helps onboard new use cases and design scalable solutions to meet user requirements. Evaluates software and hardware solutions available in the market, compares them with the existing platform baseline. The Solution Architect works closely with Product and Platform Owners to distill requirements. Ensures the platform is able to support the functional and operational requirements of such use cases. Rolls out new capabilities as needed by the platform. What we’re looking for: Solid background in Big Data infrastructure, Cloud Infrastructure and Software Management. Deep experience with Data Engineering Frameworks and Pipelines Independent, creative, welcomes challenges and delivers Curious mind, passionate about solving problems quickly and bringing innovative ideas to the table Basic Qualifications: 6+ years of experience with Data Engineering, Data Science, Data Analytics, Solution Architecture, Data Architecture 3+ years of experience with Big Data systems, including Hadoop, Spark 3+ years of experience with Python, Java, Shell Scripting, SQL or R Experience with briefing senior leadership Experience with DoD networks and infrastructure Experience with working in a complex environment and managing competing priorities Experience with working with product leaders to align and manage application and system roadmaps with mission needs Active Secret clearance Ability to work onsite in the Crystal City/Alexandria, VA region 2-3 days per week BS degree Additional Qualifications: Experience developing data pipelines using Apache Spark, Databricks Experience with SQL query engines – Databricks, Snowflake and Redshift Experience with Big Data processing frameworks such as EMR, Athena and Big Query Experience developing architecture options for existing and new technologies Experience developing target architecture and road maps Excellent organizational and time management skills to handle multiple tasks simultaneously Top Secret Clearance or higher #J-18808-Ljbffr