At Freddie Mac, you will do important work to build a better housing finance system and you’ll be part of a team helping to make homeownership and rental housing more accessible and affordable across the nation.

Position Overview:

Are you looking for a career to work with the newest technologies and will drive enterprise solutions in architecture role? The Freddie Mac Enterprise Data Office architecture team is seeking a Data Architect Technical Lead to provide architecture solutions for enterprise data platforms.

Our Impact:

• Enable critical capability to support key business needs through innovative solutions.

• Deliver solutions aligned with enterprise data strategy to ensure consistency and quality.

• Achieve architectural alignment across technology and solutions to guide strategic direction.

• Define target states to meet business outcomes and create roadmaps that deliver incremental improvements and value.

• Define and create reference architectures and architecture/design patterns to ensure consistent implementation of the architecture roadmaps.

• Identify solution alternatives and/or new technologies to meet new business needs or address existing business concerns, such as customer experience, operational efficiency, performance and cost effectiveness

Your Impact:

• Drive critical business capabilities by delivering innovative solutions using the latest cloud technologies

• Provide technical consultation to partners and IT management on technology options, architectural trade-offs, standards alignments, risks, and roadmap development.

• Present and communicate architectural solutions and patterns to both technical and on-technical partners, demonstrating their value in meeting business needs.

• Collaborate with business partners and risk & security groups to ensure alignment of architecture with business objectives, roadmaps, and organization policies and standards.

• Define and deliver architectural solution documentations, patterns, product deliverables, and decisions with clear rationale, especially in data patterns and solution architecture.

• Evaluate and compare solutions to identify the optimal choices for business needs.

Qualifications:

• Best-in-class professional with ability to make architecture and design decisions and tradeoffs for solution architecture that looks across the applications landscape and adheres to enterprise standards.

• Bachelor’s degree in Computer Science or related field

• 3+ years of AWS Cloud experience working with AWS services EC2, S3, EKS, RDS/Aroura, EMR, Lambda

• 3+ years working with SaaS platforms such as Snowflake, Collibra, Mongo/MongoDB Atlas,

• 3+ years of large-scale digital transformation & AWS Cloud migration hands on experience with multiple technology areas like API, Microservices, Event Streaming, Logging & Monitoring, Databases (SQL, NOSQL), Containers, Serverless Frameworks, AI & ML etc.), API Platform (Apigee), Kafka, AMQ

• 10+ years of broad technology experience and knowledge across multiple disciplines such as application development, database SQL/NoSQL, infrastructure platform, security products, ETL products, Data Management and Business Intelligence (BI) tools

• 10 years of practical experience in solution, data, architecture applied to multiple large-scale enterprise systems.

• 5 years’ extensive knowledge and experience in the Data technologies for Data Analytics, Data Lake/Mart/Warehouse, Big Data (Hadoop, HBase, Hive), Databases SQL/NoSQL (DB2, Oracle, Sybase, Mongo, Postgres), ETL (Informatica, Talend, Sqoop), CDC (Attunity), REST API, Integration/EAI technologies like Informatica, BI tools (MicroStrategy/Tableau), Data Management tools

• 10 years’ experience with Technologies including Web Service API, Integration/EAI technologies like Informatica, XML, JSON, JDBC, SQL, Java, Python, R,

• Knowledge of enterprise data models, information classification, meta-data models, taxonomies and ontologies