Architecture Senior Technical Lead (Data Focus)
We are unable to sponsor as this is a permanent full time role A prestigious fortune 500 company is on the search for an Architecture Senior Technical Lead - Data Focus.
This position to focus providing solutions that align with data strategy infrastructure.
This tech lead needs to have 3
years of experience working with AWS Cloud experience working with AWS services EC2, S3, EKS, RDS, Mongo, EMR, Lambda, Snowflake, Okera, Collibra, SNS, SQS.
They also need to have 10 years of hands-on experience in solution, data, architecture applied to multiple large-scale enterprise systems.
Responsibilities:
Enabling solutions to enable critical business capability through innovation and latest cloud technologies to solving unique challengesTechnical consultation to clients and IT management to on technologies, architecture solution options with tradeoffs, alignment with standards and roadmapsPresent and communicate the architecture solutions, architecture patterns to technical and non-technical partners, and demonstrate how they will enable business needsEnsure architecture aligns with business objectives, roadmaps as well as to the company's architecture principles and standardsDefine architecture patterns, architecture project deliverables, including data patterns, architecture decisions, rationale for those decisions and architecture solution.
Define and compare solution to determine the optimal solutions for business needs.
Provide leadership and guidance in the following:
Advises business owners, and IT groups regarding the company architecture and data guidelinesDrives application architectural decisions for the systems under developmentLeads application integration and design discussions among multiple applications groupsInfluences key decisions for the technology & infrastructure architecture.
Advises the system and infrastructure configuration from application performance, scalability, and capacity perspective.
Provides guidance to business counterparts, customers, and top management on requirements pertinent to the data and technical capability
Qualifications:
Seasoned 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 required3 years of AWS Cloud experience working with AWS services EC2, S3, EKS, RDS, Mongo, EMR, Lambda, Snowflake, Okera, Collibra, SNS, SQS3
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, AMQ10-15 years of broad technology experience and knowledge across multiple disciplines such as application development, database SQL/NoSQL, infrastructure platform, security products, ETL products, rule engines, and Business Intelligence (BI) tools10 years of hands-on 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 Warehouse, Data Mart, BI, Big Data (Hadoop, HBase, Hive), Databases SQL/NoSQL (DB2, Oracle, Sybase, Mongo, Postgres, MySQL), ETL (Informatica, Talend, Sqoop), CDC(Attunity) ,Store procedures, REST API, Integration/EAI technologies like Informatica, BI tools (MicroStrategy/Tableau), Snowflake10 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 ontologiesHands on experience with the latest cloud-based AWS technology and familiarity with the latest industry trends and technology for enterprise data needsData and Architectural leadership with knowledge of both legacy and modern cloud-based data technologies and applications.
Estimated Salary: $20 to $28 per hour based on qualifications.
This position to focus providing solutions that align with data strategy infrastructure.
This tech lead needs to have 3
years of experience working with AWS Cloud experience working with AWS services EC2, S3, EKS, RDS, Mongo, EMR, Lambda, Snowflake, Okera, Collibra, SNS, SQS.
They also need to have 10 years of hands-on experience in solution, data, architecture applied to multiple large-scale enterprise systems.
Responsibilities:
Enabling solutions to enable critical business capability through innovation and latest cloud technologies to solving unique challengesTechnical consultation to clients and IT management to on technologies, architecture solution options with tradeoffs, alignment with standards and roadmapsPresent and communicate the architecture solutions, architecture patterns to technical and non-technical partners, and demonstrate how they will enable business needsEnsure architecture aligns with business objectives, roadmaps as well as to the company's architecture principles and standardsDefine architecture patterns, architecture project deliverables, including data patterns, architecture decisions, rationale for those decisions and architecture solution.
Define and compare solution to determine the optimal solutions for business needs.
Provide leadership and guidance in the following:
Advises business owners, and IT groups regarding the company architecture and data guidelinesDrives application architectural decisions for the systems under developmentLeads application integration and design discussions among multiple applications groupsInfluences key decisions for the technology & infrastructure architecture.
Advises the system and infrastructure configuration from application performance, scalability, and capacity perspective.
Provides guidance to business counterparts, customers, and top management on requirements pertinent to the data and technical capability
Qualifications:
Seasoned 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 required3 years of AWS Cloud experience working with AWS services EC2, S3, EKS, RDS, Mongo, EMR, Lambda, Snowflake, Okera, Collibra, SNS, SQS3
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, AMQ10-15 years of broad technology experience and knowledge across multiple disciplines such as application development, database SQL/NoSQL, infrastructure platform, security products, ETL products, rule engines, and Business Intelligence (BI) tools10 years of hands-on 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 Warehouse, Data Mart, BI, Big Data (Hadoop, HBase, Hive), Databases SQL/NoSQL (DB2, Oracle, Sybase, Mongo, Postgres, MySQL), ETL (Informatica, Talend, Sqoop), CDC(Attunity) ,Store procedures, REST API, Integration/EAI technologies like Informatica, BI tools (MicroStrategy/Tableau), Snowflake10 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 ontologiesHands on experience with the latest cloud-based AWS technology and familiarity with the latest industry trends and technology for enterprise data needsData and Architectural leadership with knowledge of both legacy and modern cloud-based data technologies and applications.
Estimated Salary: $20 to $28 per hour based on qualifications.
|
|
 | |
