Position: Big Data Architect
Term: Direct Placement
Salary: Max $180k
Location: New York, NY or San Francisco, CA
Misc: No relo, H1B transfers are welcome
Our client is a world-class intelligence product with a mission to create a unique sales analytics platform that will provide detailed business insights, decisions, and actions for our customers.
We are looking for a seasoned Big Data Architect to join our core engineering team. You will be responsible for architecting and implementing massive data stores, including data warehousing, ETL, and business intelligence for our analytical Enterprise Architecture. The role also demands collaboration across business and development teams to deliver appropriate solutions.
The ideal candidate will think about Big Data in their sleep and enjoy working in a collaborative and fast-paced start-up environment. This is a crucial hands-on role and key responsibilities include the following:
Responsibilities
•Responsible for architecting components of the enterprise data warehouse
•Establish, govern, and implement an architectural roadmap and technology standard for our Big Data platform
•Provide guidance for Big Data Architecture across all of our technology platforms
•Provide technical expertise in the areas of architecture, design, and implementation
Requirements
•BS or MS degree in Computer Science or related field
•7+ years of experience developing and implementing Big Data solutions
•5+ years of experience with Big Data technologies, such as Hadoop, MapReduce Redshift, Infobright, Vertica, and emerging technologies such as Spark
•Java/J2EE expertise with product development using SDLC principles
•ETL patterns for both structured and unstructured data stores
•Hands-on development experience with the following technologies: the Hadoop ecosystem of products like HBase, Hive, Pig, and Cassandra, MongoDB and CouchDB
•Experience with Machine Learning algorithms is a plus
Term: Direct Placement
Salary: Max $180k
Location: New York, NY or San Francisco, CA
Misc: No relo, H1B transfers are welcome
Our client is a world-class intelligence product with a mission to create a unique sales analytics platform that will provide detailed business insights, decisions, and actions for our customers.
We are looking for a seasoned Big Data Architect to join our core engineering team. You will be responsible for architecting and implementing massive data stores, including data warehousing, ETL, and business intelligence for our analytical Enterprise Architecture. The role also demands collaboration across business and development teams to deliver appropriate solutions.
The ideal candidate will think about Big Data in their sleep and enjoy working in a collaborative and fast-paced start-up environment. This is a crucial hands-on role and key responsibilities include the following:
Responsibilities
•Responsible for architecting components of the enterprise data warehouse
•Establish, govern, and implement an architectural roadmap and technology standard for our Big Data platform
•Provide guidance for Big Data Architecture across all of our technology platforms
•Provide technical expertise in the areas of architecture, design, and implementation
Requirements
•BS or MS degree in Computer Science or related field
•7+ years of experience developing and implementing Big Data solutions
•5+ years of experience with Big Data technologies, such as Hadoop, MapReduce Redshift, Infobright, Vertica, and emerging technologies such as Spark
•Java/J2EE expertise with product development using SDLC principles
•ETL patterns for both structured and unstructured data stores
•Hands-on development experience with the following technologies: the Hadoop ecosystem of products like HBase, Hive, Pig, and Cassandra, MongoDB and CouchDB
•Experience with Machine Learning algorithms is a plus