The recruiter has to be able to contact you ASAP if they like to offer you the job. I work with large enterprise clients on designing solutions which leverage their data and turn it into intelligent solutions. Awesome AWS Cloud Solutions Architect/Cloud Security Professional with Six (6)+ years of experience working as a Clou­­­­d Solutions architect/DevOps Engineer with breadth of experience across the Enterprise IT in multiple of the following areas: Software design or development; Infrastructure architecture; Database architecture; Networking; IT Security; Enterprise Applications; and Analytics. Duties in line with this position and reflected on sample resumes include creating, designing, developing, testing, and implementing a proprietary hybrid cloud; and designing and developing functional areas of the cloud, including automation, infrastructure, SDN and SDDC … Once sale is made, manage smooth transition of project from sales to operations. CATE and CTI) in the development of our reference architecture and roadmap. ), Working experience with web development HTML, JSON, jQuery, AJAX, REST API, Experienced designing and implementing large on-prem and cloud-based data warehouse solutions utilizing cluster and parallel RDMS and NoSQL architectures, Experience automating predictive workflows leveraging open source & cloud-based platforms, Experience using various Hadoop technologies (HDFS, Hive, Spark, Unix shell scripting, HQL/SQL, Python or Scala, Oozie, Sqoop, TDCH), Experience designing and programming ETL/ELT for EDWs, Experience in ETL and data warehousing in on-premise and AWS environments, Experience working with different data models and database schemas, Experience and expertise in developing and maintaining automated tools for database design, configuration, implementation, testing, and monitoring, Experience evaluating and analyzing SQL statements for troubleshooting and root cause analysis, Experience with traditional data modeling and data modeling in the cloud computing environment (preferably AWS RDS), Experience in manipulating, processing, and extracting value from large datasets, Experience with programming and scripting languages (SQL, Python, Java), Experience migrating existing non-cloud native applications into cloud environments and cloud native architectures, Automate predictive workflows, increase capabilities via cloud/open source technologies and explore graph/NoSQL database platforms to optimize data infrastructure, Experience integrating on-prem and cloud big data platforms, Experience using various AWS technologies (RDS, RedShift, EC2, S3), Experience with application containerization using Docker, Experience in API’s, complex integration development and architecting n-tier applications, Experience with the following technologies is not required, but beneficial: Teradata, Informatica, Databricks, Azure, Help with the cost and budget analysis to understand how we control costs of running set of Cloud Based Data Stores, Initiate projects/processes to evaluate, define and ingest new data sources and improve data quality, Develop micro-services and downstream integrations from data warehouse with CRM and other sales applications, Work with internal stakeholders to understand new business needs, pain-points and gaps in data to drive the future enhancements to the data warehouse, Support ROI analyses on 3rd party data acquisition and technical improvements to data operations, Extensive knowledge with SaaS based applications like Eloqua, Salesforce and Google Analytics, Experience in Advanced SQL (analytical functions), data warehousing concepts, data quality management, data modeling and performance tuning along with ETL tools like Informatica, Snaplogic and Talend, Identify use cases, recommendations and solutions for expanding the current Enterprise Data Warehouse to take advantage of Hadoop and cloud technologies (primarily AWS), Over 5 years of experience as a big data solutions architect, Capable of turning recommendations and design concepts into working proof of concept (PoC) solutions through hands-on PoC development, Clearly articulate pros and cons of various big data technologies and platforms, Work with federal and contractor staff to identify requirements, Applies developed subject matter knowledge to solve complex data issues within established guidelines and recommends appropriate actions, Works on projects of diverse complexity and scope, Works in a fast-paced agile development environment, Define Architecture Best Practices for Cloud Data Solutions and put in place structure to ensure compliance, Implement appropriate Change Management and Cloud Data Solution Release Management processes, AWS Certified Solutions Architect – Professional certification required, Collaborate and coordinate with other contract teams, Drive global and regional architecture forums, ensuring the reference architecture and roadmap at sub domain level are informed by practical requirements and that design decisions remain consistent with the architecture and roadmap; ensure appropriate governance of exceptions and stringent follow-up to ensure all conditions of approval are met within the committed timeframe, Experience of Implementation and tuning for Apache Hadoop + tools such as Pig, Hive & Spark, Experience in cloud architecture, APIs/microservices, data modeling, data architecture, Experience with AWS-based infrastructures, including setup of Amazon Web Services (AWS) -- Redshift, S3, EC2 and VPC, Experience in working with Relational (Oracle, SQL Server, Redshift), NoSQL Databases (MongoDB) and Graph Databases (Neptune), Experience with other database systems like MSSQL and Oracle, Knowledge and experience with Big Data technologies such as Hadoop, NoSQL and Map-Reduce and other Big Data frameworks, Experience with Agile software methodology and SCRUM, Strong desire to drive change, an ability to adapt to change quickly, Hands-on API (REST, SOAP) and microservices (Lambda, ML, NLP) experience, Experience in big data technologies like Hadoop, Hive, Spark, Sqoop and Kafka, Python experience, specifically with data manipulation, automation and predictive, Understanding of one or more modern coding languages (Java, Python, C#, PHP and JavaScript), Lead effort in researching, identifying and implementing leading edge technologies and practices, Maintain multiple application databases by installing, configuring and troubleshooting database on-premise and in cloud computing environment, Knowledge of IP Networking VPN’s, switching, and routing, Working with Data Mart technologies, including storage, transformation, retrieval, and analysis of information, Working with infrastructure design, infrastructure as code, automation, troubleshooting and root cause analysis, Working in AWS cloud computing and technologies, Participate in all integration, transition and deployment planning activities and venues to include Release Planning events and product demos, Technical experience in multiple Data Warehouse systems, Big Data and Analytic frameworks with demonstrated success in managing and administering Big Data Technologies such as Hadoop, SPARK, HIVE, HANA, and/or AWS EMR/Redshift/Data Pipeline, Deep technical experience that enables engaged consulting on technology, standards, processes, and best practices in areas of expertise and regarding new Cloud data technologies, Experience determining strategic roadmaps for data solutions to meet current and future needs for the Enterprise Data Lake, Experience with database performance testing, Project management experience working with big data technologies within the Hadoop stack or similar technologies, Experience working with various verticals (i.e. Lab deployment of vCloud Suits of Products. Canonical, Logical and Physical, Research, present and accurately articulate benefits and goals of technologies such as Big Data, Hadoop, NoSQL, Data Virtualization, and Data Services, Determines data model structural requirements by analyzing client operations, applications, and programming; reviewing objectives with clients; evaluating current systems, Develops data model solutions by designing proposed system; defining database physical structure and functional capabilities, security, back-up, and recovery specifications, Documents Data Flows and integration flows between applications, Ensures database architectural solutions are stable, secure and compliant with Hertz and required industry standards and practices, Assists in the creation and compliance of data classification models, Design and implement scalable Cloud Data and Analytical architecture solutions for various public and private cloud platforms, Design and implement security, encryption best practices for Cloud Data and Analytical platforms, Architect, design and implement high performance large volume data integration processes, database, storage, and other back-end services in hybrid cloud environments, Collaborate with client teams to assess current architecture, design the future data architecture and develop a roadmap to implement, Work closely with Dev Ops team to integrate analytical solutions into cloud based custom developed applications, Enable a micro services framework to integrate data and analytical requests into client business process applications, Support Cloud Strategy team to integrate analytical capabilities into an overall cloud architecture and business case development, Deep experience as a technology leader designing and developing data architecture solutions with more than 3+ years specializing in big data architecture or data analytics, Broad based architecture acumen: Database architecture, ETL, Micro services, Cloud, Cognitive, IOT, etc, Demonstrate technology thought leadership, foster productive business relationships and build strong sponsorship of our technology architecture and roadmap. AWS-certified big data solution architect with 4+ years of experience driving information management strategy. Has excellent analytical and problem-solving skills and a strong ability to work with minimal supervision.Has a Bachelor’s Degree in Computer Engineering and four years of experience working as a cloud computing engineer. Understand and influence business strategy, ensuring it’s informed by current and emerging technology capability and supported by our architecture and roadmap, Maintain reference architecture for the assigned Sub domain(s), ensuring it’s anchored in current/emerging business requirements, consistent with enterprise and sector architectural tenets, supported by clearly defined financial and non-financial rationale and actionable within the context of Citi’s investment and risk appetite, Maintain Sub Domain Level comprehensive technology roadmaps encompassing application and related infrastructure services that are consistent with the reference architecture and phased in accordance with business priorities, investment and risk appetite and regulatory, risk and compliance requirements, Ensure early engagement of partner organizations (e.g. Architected a social engagement application in a short span of time that would replace current commenting application Echo. Duties in line with this position and reflected on sample resumes include creating, designing, developing, testing, and implementing a proprietary hybrid cloud; and designing and developing functional areas of the cloud, including automation, infrastructure, SDN and SDDC technology, consumption platform, security, physical networking, storage, and computing. Working with Vulnerability assessment team to work on discovered vulnerability. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular cloud data architect position you're applying to. How to write a Solutions Architect resume header. Business Architecture and Technology Strategic leader and member of the executive team responsible for the company's business and technology strategy and execution. Responsible for building strong relationships with senior business leaders to ensure alignment. lift-and-shifts), Research, analyze, recommend, and select technical approaches for solving difficult and challenging development and integration problems, Proficiency in cloud platforms (AWS, Azure, or Google Cloud), Assist business development teams with pre-sales activities, including helping estimate and plan projects, Experience on any of the cloud platforms (Amazon Web Services, Azure, and Google Cloud), with a deep interest in Google Cloud Platform, Proficiency in relational database design and development, Be responsible for small to large sized projects, automation, task tracking, process execution and metrics for Enterprise Data Lake workloads, Design, build and deliver reusable foundational frameworks for Enterprise Data Lake workloads, and drive adoption of the frameworks to enable the delivery teams, Design, build and deliver the operational and management tools, frameworks and processes for the Data Lake and drive the implementations into the Data Lake Cloud Operations team, Maintain a strong collaborative relationship with the business owners and application owners in support of business strategies, Partner with Data Lake Architects to identify and resolve functional gaps in the Cloud Data architecture, and define new Cloud Architecture to meet emerging Data Lake needs, Provide expertise to resolve critical, complex technical issues around Big Data and Analytic technology, Engineering support for the requirements analysis and breakdown of capabilities from other programs and RFC for inclusion in ODS, Engineering support to provide updates and provide new processes, procedures, and guidance as data services are developed and refined, Engineering support to update and maintain the data repository, data guidance documents, roadmaps, technical briefings, data access design and policies, and ODS backlog, Have strong problem-solving skills and be able to work well with application developers, Demonstrated experience with developing and deploying cloud applications, Working experience with scripting languages, Working experience with Amazon Web Services and Pivotal Cloud Foundry (PCF), Working experience in database technologies compatible with geospatial data extract/transform/load processes (e.g. Cloud Architect Led migration of Virtual Machines for multiple global business units platforms... 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