Cloud Data Solutions Technical Leadother related Employment listings - McLean, VA at Geebo

Cloud Data Solutions Technical Lead

We are unable to sponsor for this permanent Full time role Position is bonus eligible Prestigious Enterprise Company is currently seeking a Cloud Data Solutions Technical Lead.
Candidate will enable solutions to enable critical business capability through innovation and latest cloud technologies to solving outstanding challenges.
Responsibilities:
Technical consultation to clients and IT management to on technologies, architecture solution options with tradeoffs, alignment with standards and roadmaps Present and communicate the architecture solutions, architecture patterns to technical and non-technical partners, and demonstrate how they will enable business needs Ensure architecture aligns with business objectives, roadmaps as well as to the company s architecture principles and standards Define architecture patterns, architecture project deliverables, including data patterns, architecture decisions, rationale for those decisions and architecture solutions Define and compare solutions to determine the optimal solutions for business needs Provide leadership and mentorship in the following:
Advise business owners, and IT groups regarding the company's architecture and data guidelines Drive application architectural decisions for the systems under development Lead application integration and design discussions among multiple applications groups Influence key decisions for the technology & infrastructure architecture; Advise the system and infrastructure configuration from application performance, scalability, and capacity perspective Provide guidance to business counterparts, customers, and top management on requirements pertinent to the data and technical capability Qualifications :
Top-tier 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 required 3 years of AWS Cloud experience working with AWS services EC2, S3, EKS, RDS, Mongo, EMR, Lambda, Snowflake, Okera, Collibra, SNS, SQS 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 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) tools 10 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), Snowflake 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 Hands on experience with the latest 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.
Estimated Salary: $20 to $28 per hour based on qualifications.

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