Architecture Tech Lead

Freddie Mac
McLean, VA
Sep 08, 2017
Sep 22, 2017
IT, IT Architect
Full Time
Position Overview
Do you have a passion for big data and architecture? If so, this position is meant for you! As an Architecture, Tech Lead within our Single Family Architecture & Platforms group, you will participate in the development and maintenance of application and information system architecture and conducts business information flow studies. You should have extensive knowledge and experience in the Data technologies, which supports Big Data (Hadoop Technologies), Cloud technologies (AWS, Azure), Data Analytics, Data Warehouse, Data Mart, Business Intelligence, Relational database, Analytics database, Columnar database, and other NoSQL database

Additional responsibilities include:

* Provides architecture and technology leadership across platform in Big Data and Cloud Data technologies
* Creates the architecture document for assigned projects, including architecture patterns, decisions, and rationale for those decisions
* Conducts system architecture studies of new and existing IT systems to permit development of integrated systems.
* Identifies and compares alternative solutions to determine the optimal solution that will meet business needs.
* Defines future architecture enhancements, i.e. logical evolutions of the system
* Make recommendations about platform and technology adoption, including database servers, application servers, libraries, and frameworks
* Advise senior management on how products and processes could be improved and maintain the product roadmap
* Presents and communicates the solution architecture to various stakeholders, both technical and business, and can explain how the solution design will meet business needs
* Assists in creating and defining application and technical patterns to be used for business events, as necessary
* Work with the developers, business analysts and subject matter experts to understand the complex technological system to produce integrated end-to-end solution options
* Evaluates system scalability and recommends improvements
* Works on unusually complicated problems and provides solutions that are highly creative and ingenious.
* Works under consultative direction toward predetermined long-range targets. Determines and pursues courses of action essential in obtaining desired outcomes

Basic Requirements
* At least 7 years of extensive knowledge and experience in the Data technologies, which supports Data Analytics, Data Warehouse, Data Mart, Business Intelligence, Big Data, Relational database, Analytics database, Columnar database, and other NoSQL database
* At least 3 years of experience using Big Data Frameworks, Hortonworks Data Platform and Hortonworks Data Flow, Kafka, Storm, Spark.
* Experience with implementing projects on the cloud (AWS or Azure) * Implementing projects using NOSQL databases such as Couchbase, Cassandra, or MongoDB or graph databases like Neo4j
* Experience with building data staging layers and fast real-time systems to feed BI applications and machine learning algorithms.
* Broad technology experience and knowledge across multiple disciplines such as application middleware server, database servers, infrastructure platform, security products, ETL products, rule engines, and BI tools.

Preferred Skills
* Excellent presentation and communication skills
* Ability to lead/influence issue resolution across various groups in the organization
* Ability to think on a multi-site enterprise level. Be forward looking and drive tactical and strategic technology roadmaps.
* Ability to work well under pressure and to meet tight deadlines.
* Be self-motivated and customer service oriented

Closing Statement
Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you’ll do important work for the housing finance system and make a difference in the lives of others. Freddie Mac is an equal opportunity and top diversity employer. EOE, M/F/D/V.