Enterprise Data Architect AWS

***This role requires working onsite 5 days each week***

***We are unable to sponsor for this permanent full-time role***

***Position is bonus eligible***

Prestigious Enterprise Company is currently seeking a Enterprise Data Architect with strong AWS cloud experience. Candidate will drive critical business capabilities by delivering innovative solutions using the latest cloud technologies.

Responsibilities:

• 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.
• Defi ne 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 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

• Direct experience most recent cloud-based AWS technology and familiarity with the latest industry trends and technology for enterprise data needs.
• Data and Architectural leadership with knowledge of both legacy and modern cloud-based data technologies and applications
• Strong judgment with excellent decision-making skills and excellent analytical skills, ability to deal with ambiguity and lead technical solutions.
• Ability to lead, collaborate and influence issue resolution across various groups in the organization
• Ability to guide teams on proven data methodologies, design solutions, standards and guidelines.
• Excellent verbal and written communication skills and ability to succinctly present subject matter. Ability to partner with and influence key customers in an open, collaborative environment in an organization
• Highly motivated and upbeat self-starter with proven organizational and time management skills; demonstrable experience operating at high standards of quality and accuracy within a fast-paced changing environment

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

***This role requires working onsite 5 days each week***

***We are unable to sponsor for this permanent full-time role***

***Position is bonus eligible***

Prestigious Enterprise Company is currently seeking a Enterprise Data Architect with strong AWS cloud experience. Candidate will drive critical business capabilities by delivering innovative solutions using the latest cloud technologies.

Responsibilities:

• 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.
• Defi ne 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 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

• Direct experience most recent cloud-based AWS technology and familiarity with the latest industry trends and technology for enterprise data needs.
• Data and Architectural leadership with knowledge of both legacy and modern cloud-based data technologies and applications
• Strong judgment with excellent decision-making skills and excellent analytical skills, ability to deal with ambiguity and lead technical solutions.
• Ability to lead, collaborate and influence issue resolution across various groups in the organization
• Ability to guide teams on proven data methodologies, design solutions, standards and guidelines.
• Excellent verbal and written communication skills and ability to succinctly present subject matter. Ability to partner with and influence key customers in an open, collaborative environment in an organization
• Highly motivated and upbeat self-starter with proven organizational and time management skills; demonstrable experience operating at high standards of quality and accuracy within a fast-paced changing environment

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.