Big data architects are in charge of building and executing the infrastructure required to store and handle enormous volumes of data. According to our sample resumes, these specialists should have experience in software development, teamwork, problem-solving, good communication skills, and analytical thinking.
Resume Template: 1
Big Data Architect Resume: 1
Richard d. Harding
Laguna beach, Los Angeles
(123) 4567890
Summary
They are also responsible for coordinating with other teams within the firm, engaging with stakeholders, consulting with clients, staying up to date on industry developments, and maintaining data security.
Experience
Company a, big data architect
- Create high-performance, resilient, and secure applications with Hortonworks ecosystems.
- Provide knowledge in ms azure -iaas/paas on hortonworks stacks.
- Expertise in batch and stream analytics using hdfs, Kafka, spark, web-hdfs, and the hortonworks stack
- Keep abreast of developing tools and technologies and advocate their use to gain a competitive edge and improve development/delivery efficiency.
Company b, big data architect
- Create technical presentations and proposals, as well as provide client presentations
- Evaluate new technologies, carry out proof-of-concept experiments, and create specialized algorithms.
- Work closely with project teams to provide direction in implementing solutions at various phases of projects as defined in the agile approach.
Company c, big data architect
- Roll up your sleeves and collaborate with project teams to achieve project goals by implementing strong architectural principles.
- Adopt novel architectural techniques to use in-house data integration capabilities that are compatible with the enterprise’s architectural aims.
- You determine the system’s structure, interfaces, and principles that govern its organization, software design, and implementation.
Education
Florida state university
Masters in computer science
Certifications
- Certified public big data architect
- Certified company big data architect
Skills
- Hbase, Cassandra, MongoDB, CouchDB, Memcached, dynamodb, druid, and bigtable are examples of NoSQL databases.
- Capable of creating application architectures for sophisticated business functions across numerous platforms and devices.
- Hbase, Cassandra, MongoDB, CouchDB, Memcached, dynamodb, druid, and bigtable are examples of NoSQL databases.
- At ease learning cutting-edge technologies and applying them to greenfield projects
Resume Template: 2
Big Data Architect Resume: 2
Richard d. Harding
Laguna beach, Los Angeles
(123) 4567890
Summary
Experience
Company a, big data architect
- Provide overarching architect duties including roadmaps, leadership, planning, technological innovation, security, and its governance, among other things.
- Present and persuade the various stakeholders about the design architecture (customer, server, network, security, and other teams)
- Create assets that support reference architecture advocacy and implementation, including documentation, white papers, and presentations/diagrams for technical and business audiences.
Company b, big data architect
- Using the ca Erwin data modeling tool, analyze data and industry models as needed. Database scaling (vertical/horizontal).
- Maintain an enterprise data model with ca Erwin on the windows XP pro and windows 7 pro platforms, in conjunction with office pro 2010.
- Create a stand-alone risk management algorithm for managing trade risk using a support/resistance-based trailing stop.
Company c, big data architect
- Improving data processing and storage throughput by distributing computation over a cluster of up to [number] nodes using the Hadoop framework.
- Creating tailored memory indexes for high-performance information retrieval with apache Lucene and apache solr, as well as an optimized graph database with up to [amount] billion edges.
- Using machine learning methods to discover the most significant traits across several datasets.
- Developing proof of concepts from the ground up to demonstrate how various data integration strategies may address specific business goals while lowering costs and time to market.
Education
Florida state university
Masters in computer science
Certifications
- Certified public big data architect
- Certified company big data architect
Skills
- Deep expertise in dealing with enterprise-wide deployment, scalability, availability, and performance challenges
- Strong cem subject knowledge and experience
- Proven ability to deliver high-profile activities on schedule.
- Maintain and assure platform availability and quality.
- Extensive practical experience with enterprise factors and business process issues
- Knowledge of many languages, platforms, and development approaches
Resume Template: 3
Big Data Architect Resume: 3
Richard d. Harding
Laguna beach, Los Angeles
(123) 4567890
Summary
Big data architects make big databases more accessible to people. They design the database architecture and manage the data infrastructure. Furthermore, they play an important role in large data projects since they improve security and user authentication. Your CV should demonstrate a blend of these technical capabilities as well as great communication and collaborative abilities.
Experience
Company a, big data architect
- Platform architecture was developed and executed in accordance with existing standards.
- Use cases and proof of ideas were evaluated and documented.
- Participated in the development of technologies for big data systems.
- Installed and maintained big data systems on Linux laptops.
Company b, big data architect
- Designed and built servers, as well as integrated application components.
- Automation systems were prepared and server hardware was tested.
- Aided with the management and design of server infrastructure.
- Spice was used to provide help desk support services.
- Analyzed and addressed software problems in collaboration with hardware manufacturers.
- Cloud and visualization approaches were used to create architectural components.
Company c, big data architect
- The source system from RDBMS and other data sources was evaluated and documented.
- Designed process frameworks and assisted with data migration on Hadoop systems.
- Developed architectural plans for mitigation.
- Integration of reference designs and standards was encouraged.
- Big data technologies were used to create technological designs.
- Architectures and blueprints for big data implementation have been prepared.
Education
Florida state university
Masters in computer science
Certifications
- Certified public big data architect
- Certified company big data architect
Skills
- Windows
- Linux
- Unix
- Jboss
- Weblogic
- Websphere
Resume Template: 4
Big Data Architect Resume: 4
Richard d. Harding
Laguna beach, Los Angeles
(123) 4567890
Summary
Highly competent and self-motivated data architect with an extensive understanding of big data, cloud, data, and analytics platforms. SQL, tableau, OLAP, enterprise saas, aws, redshift, and snowflake knowledge. Seeking to use professional knowledge to examine current data designs in order to optimize and give structural improvements to [company name] company growth.
Experience
Company a, big data architect
- By enhancing OLAP database systems, business bi systems gained 75% in performance.
- Etl, replication systems, and query optimization techniques were designed and developed to accommodate highly heterogeneous (structured, semi-structured, and unstructured) and high-velocity (near real-time) data processing and delivery.
- The data architecture must be designed for huge dataset collecting, analysis, storage, cleaning, transformation, and reclamation.
- Create benchmarking, performance, assessment, testing, data security, and data privacy standards and techniques.
Company b, big data architect
- Developed solution design for the company’s CRM capacity, reducing data availability latency by [mention the percent]% and increasing data availability by [mention the percentage]%.
- Establish objectives for unified data management processes such as meta-data management, provenance management, governance, stewardship, data quality, and lifecycle management.
- As new source systems are added and new integration business rules and logic are implemented, impact analysis, performance optimization, and capacity planning for the enterprise data warehouse and its infrastructure are performed.
- Policies, methods, standards, techniques, and metrics for data quality, metadata management, and master data management have been established and enforced.
Company c, big data architect
- Using storm and Kafka, I created a real-time analytics and ingestion platform. Extensive familiarity with NoSQL databases such as riak, couchbase, hbase, and Cassandra.
- Lead the engineering team and oversee the QA effort, which included training for production operations, QA, and presentations to product and executive teams.
Education
Florida state university
Masters in computer science
Certifications
- Certified public big data architect
- Certified company big data architect
Skills
- Enterprise saas
- Aws
- Spark
- Redshift
- Snowflake
- SQL
- Tableau
- Python
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