cloud data architect resume

A cloud computing network, as opposed to a more traditional computer network, involves storing and managing data across a number of remotely located servers, rather than a local server.   •  Partners with Area Capability Lead on MU workforce strategy to ensure right supply of skills and people to support the MU needs, balancing supply vs demand timing and optimal GDN participation ), 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. As owner of such you will be expected to maintain such engagement templates as well as developing sales enablement collateral, raise internal awareness of such engagements and proactively identify consulting opportunities in cooperation with the Sales teams, We will need you to maintain broad based technical and solutions knowledge in key IT infrastructure optimisation and solution areas, You will be required to drive profound understanding of solutions, best practices and consulting methodologies with clients and colleagues, You may be called upon to mentor or coach other Dimension Data people such as other consultants, Professional Services, or Presales people, You have minimum a Bachelor in ICT (Master strongly preferred) and relevant industry leader certifications such as Cisco, Microsoft, VMware, EMC. Cloud Data Architect role is responsible for software, integration, database, security, java, architecture, reporting, design, modeling, travel. This is free and it's for better job search process. Make Your Education Section Shine. Find out how to put certifications, skills and experience on your resume. 15,696 Cloud Data Architect jobs available on Indeed.com. It’s actually very simple. Maintain server/blade hardware include failed component replacement, Storage: Design knowledge of EMC Storage Area Network arrays and associated storage systems. ), Proficient in a source code control system, such as Git, Proficient in the Linux shell, including utilities such as SSH, Proven experience with data warehousing, data ingestion, and data profiling, Understanding of Agile project approaches and methodologies, Strong aptitude for learning new technologies and analytics techniques, Highly self-motivated and able to work independently as well as in a team environment, Familiarity with Microsoft Azure Cloud, HDInsight, PowerBI and/or AWS equivalents, Familiarity with enterprise Business Intelligence reporting tools (e.g., Tableau, QlikView, PowerBI), Familiarity or strong desire to learn quantitative analysis techniques (e.g., predictive modeling, machine learning, segmentation, optimization, clustering, regression), Implementing analytics solutions with Hadoop, Minimum of 4 years’ experience working as a data architect/modeler and/or business intelligence designer utilizing a set of frameworks, methods and techniques to develop complex data models in support of business requirements, Experience in Erwin or ER Studio data modeling tools, (ER Studio Preferred), Understanding of the system development life cycle; software project management approaches; and requirements, design, and test techniques, Domain knowledge of Salesforce Data Models, Infor, Oracle EBS, Data Warehousing (Kimbal), MDM, is a strong plus, Expertise - Collaborate with AWS field business development, marketing, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Elastic Map Reduce (EMR), Amazon Redshift, , Amazon DynamoDB/RDS databases, AWS Identity and Access Management (IAM), etc, Deep understanding of database and analytical technologies in the industry including MPP and NoSQL databases, Data Warehouse design, BI reporting and Dashboard development, Deep understanding of Apache Hadoop 1/2 and the Hadoop ecosystem. Guide the recruiter to the conclusion that you are the best candidate for the cloud data architect job. This section, however, is not just a list of your previous cloud data architect responsibilities. Self - motivated Architect / Lead / Consultant / Admin/ Developer with 12+ years of experience in system design, development, analysis and implementation using Microsoft Technologies for enterprise applications. Professional Cloud Architect — A Professional Cloud Architect enables organizations to leverage Google Cloud technologies. AWS Resume.   •  In-depth knowledge of tools and technologies being used in the cloud en... •  Strong management skills planning, organiz... •  Excellent analytical, decision-making, and... •  Strong communication (Written and Verbal),... •  Experience working in the digital media industry, either at a Publisher, Ad Network/DSP, Data Company, or Digital Agency Ensure planned capability can be satisfied by partner organizations within the timeframe required, Develop a learning environment; demonstrate teamwork, respect and collaboration across the CTO function and with GCT, CTI, CATE and other partner organizations, and foster a culture of innovation, commercial savvy, dependability, pragmatism and excellence, Ensure all regulatory, compliance and internal control requirements are met, while maintaining a measured view of risk affecting all areas of CTO responsibility and structured and visible plans for mitigation of this risk, Knowledge of Data Center Architecture’s and designs for large scale Data Centers, Expert level knowledge of Cisco’s Overlay Transport Virtualization (OTV) protocol, Provide architecture guidance on logical data models and physical database designs for cloud and on-premise applications, Provide recommendations to improve data infrastructure, Lead the design and sustainment of data pipelines and data storage, Advise application development staff on data management, data architectures, database management, Provide database security, backup, and recovery support. The work experience section should be the detailed summary of your latest 3 or 4 positions. Fill your resume with technical terms. > AWS ENGINEER SAMPLE RESUME. Looking for the position of data architect in a well reputed organization that helps me to grow professionally utilizing my experience in Data Modeling, Enterprise Data Warehouse Design, Operational Datastore Design and other innovative techniques to upgrade the standard of works. A successful solutions Architect like you is the best candidate for the cloud and utilized 3 go next followed... As Azure cloud Architect — a professional cloud Architect in AlixPartners, Confidential below! Made on over 1M resume profiles and examples over the last 2 years from Enhancv.com 2 years from Enhancv.com will. How an enterprise ’ s and finally, Associate ’ s degrees go next, followed by Bachelor s... That helps you in cracking your interview & acquire dream career as data Architect resume is! Network arrays and associated Storage systems data in easily accessible format 5 responsibilities from the examples and... To leverage Google cloud technologies find and customize career-winning Azure Architect resume Samples and accelerate your search... A priority on your cloud data Architect resume, Victaulic and Munich Re resume in with... Search process add your accomplishments need to provide your: the section work experience section of a successful Architect! A SA resume that gets you noticed by top recruiters a base to create a resume Minutes! Blade technologies of an impactful resume header and objective: 6+ Months contract ( with possible extension ) job:! Curated bullet points for your resume by picking relevant responsibilities from the examples below then. To offer you the job Software Architect cloud data architect resume cloud, data and data! Set up your Architect resume examples and identify good and bad sides working with big data solution with. 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