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Data Architect

Request Technology - Robyn Honquest

Posted on Apr 3, 2025 by Request Technology - Robyn Honquest
Virginia, VA
IT
Immediate Start
Annual Salary
Full-Time

NO SPONSORSHIP

Data Architect

SALARY: $160k - $200k plus 20% bonus

LOCATION: MCLEAN, VA - 5 DAYS ONSITE

Enterprise data architecture. AWS Cloud & Governance. BS degree. Experience with snowflake collibra mongo Db Atlas API microservices event streaming logging monitoring.

Qualifications:

  • Bachelor's degree
  • 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 Snowfl ake, 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

Reference: 2925389542

https://jobs.careeraddict.com/post/102685180

This Job Vacancy has Expired!

Request Technology - Robyn Honquest

Data Architect

Request Technology - Robyn Honquest

Posted on Apr 3, 2025 by Request Technology - Robyn Honquest

Virginia, VA
IT
Immediate Start
Annual Salary
Full-Time

NO SPONSORSHIP

Data Architect

SALARY: $160k - $200k plus 20% bonus

LOCATION: MCLEAN, VA - 5 DAYS ONSITE

Enterprise data architecture. AWS Cloud & Governance. BS degree. Experience with snowflake collibra mongo Db Atlas API microservices event streaming logging monitoring.

Qualifications:

  • Bachelor's degree
  • 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 Snowfl ake, 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

Reference: 2925389542

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