The sample job description given above can help you to quickly create this section as it highlights the duties and responsibilities normally carried out by data architects. Accelerated online order processing by creating a central database. Maintained data dictionaries and integration of systems through database design. Counseled developers on best practices for multi-table joins, search arguments, and proper indexing to resolve query issues. Developed Project Planning techniques and strategies for effective Test Management in very dynamic, fast-paced environment where multiple projects and programs ran concurrently demanding massive changes to the DWHS. Designed and implemented a data transaction replication solution to move data transactions from an Oracle database to Sybase using Sybase stored procedure (T-SQL) coding (Global Command Control System (GCCS) to GTN). Coordinated data requirements between application team, DB2 Data Architect, Teradata Architect, and SQL Server DBA to ensure data will meet application schema and accuracy requirements. Developed and administered the Change Control Process for corporate Billing databases/data models and reverse engineering processes. View Enterprise Data Architect - RiteSite Executive Jobs - Resumes - $100,000 to $200,000 Enterprise Architect with a history of leading IT organizations to leverage technologies toward accomplishing strategic and tactical business objectives. Designed and implemented data integration and data warehousing solution for GOS (Growth Operation Strategy). Minimum 10 years of related experience in a data architect position. Remarkable experience of data architecting activities, Sound knowledge of data modeling tools such as SQL, Erwin and Visio, Profound knowledge of best practices for data architectures, Familiarity with data integration, data profiling and data cleansing tools, Wide knowledge of common architecture frameworks, Good understanding of SAP Data Services, SAP MDM, and SAP Business Objects, Proficient with MySQL, Informix, DB2, OWB, ER/Studio, SQL Server, OBIEE, OID, OAS, and Portal, Ability to utilize ETL strategies for data modeling, Ability to oversee data warehousing development activities, Ability to resolve complex business and technical problems. Owned roadmap and product-managed 6 releases of new product over 2 years - working with 3 scrum teams of 25 engineers spread across 3 global locations. Developed, conceptual, logical, and physical data models. MDM, Informatica. A data architect must have knowledge of application design, system development, and information management. Actively participated in system development by designing database components. Designed Conceptual Architecture and Dataflow for Connector Projects involving 834, 820 enrolment and payment files, tax credits, and reconciliation. Managed agile project including development story point estimations, Sprint schedule, Release Planning. The reverse-chronological is the best way to set up your Architect resume format. Hire Now ... Extensive experience as a solution architect for business information systems, focusing on database architecture, data modeling, data analysis, software design, programming and application integration. Create complex queries using Advanced Analytical Queries in SQL for data analysis, profiling and validations. Data Architects should have college degrees in Computer science, computer engineering or a related course. Assisted in development of technical specifications based on business requirements. Designed transformation logic for source to target mappings for staging, warehouse, and mart. Research Regarding Robotic Identification Of Objects, Responsible for End to End Solution including Requirement Gathering, Conceptual & Logical & Physical Data Modeling, Database Design and Integration, Data Governance, Data Cleanup, Database Performance, Reporting and Application Development, Led architecture and systems engineering efforts to modernize seven legacy TSA Threat Assessment and Credentialing (TTAC) systems-of-systems (ACAT-2 acquisition). Requirements gathering and documenting. Developed best practices for data remediation and standardization. Created and implemented the GS DW schema from the GS IBM AS400 production database and configuration of DB2 and informatica with repository creation. Hired as part of an organizational re-structuring initiative to design and implement the Data Architecture piece of the Strategy and Architecture team. The solutions were implemented using Hadoop, Hive, Impala and Cassandra. Designed and implemented a PostgreSQL-based, relational database model, and database-access layer with special emphasis on performance for database loads and queries. As a part of Data Quality effort performed large volume data conversion, data analysis, data cleansing and production report generation for a number of Data Marts and Operational Data Stores within CDW. Created the SOA architect for the work flow management web portals like ECR/ECO, eCIS and eMIR and integrated among the applications using the shared database. Supported real-time data integration into Operational data Store (ODS), change data capture, data replication and load-balancing processes that used Oracle GoldenGate 11g. Created data models, solution designs and data architecture documentation for complex information systems. Responsible for providing database and data warehouse expertise and consulting, design and programming of custom ETL tools, data migration and aggregation strategies for data warehousing and reporting, managing a design team and project scheduling. Support the current Legacy EDW and Analytics Data Mart activities. Recently completed a project to upgrade the corporate intranet to SharePoint 2010 as Lead Architect and Scrum Master. (Apr 2011 to Jan 2013) 1 Year & 9 Months. Sr. Technical Etl & Dw/bi Architect Resume San Ramon, CA. Supported daily operations for sustain and enhancements through trouble-shooting and performance tuning, ensuring high availability for very large Oracle databases, ETL processes and complex SQL queries. Improved external client reporting production response time from 48 - 52 hours to 45 - 55 seconds. Performed data analysis, data profiling and data quality on the source (TRAM) and target data sources (TRDM). Designed, modeled and maintained BNA publishing system logical and physical models. Our hiring manager, Jan? Identified key differences in accounting practices and estimated remediation effort to Finance system, leading to planning of a $110MM financial transformation project. Generated 80%+ performance gain for enterprise BI systems and by strengthening OLAP database systems. Objective. As a data architect performed requirements analysis, logical and physical data modeling for enterprise data warehouse while complying with corporate standards. Responsible for the Logical and Physical Design of the Private Label Services Billing Invoicing, Invoicing Reference, Reporting and Customer Business Billing Enterprise Reporting areas for a major conversion (from the Converges to Amdocs Wireless Billing Systems) project. Responsible for the design and implementation of a scaleable data solution for StoredIQ's high performance appliance for the Enterprise Content Management and eDiscovery markets. Actively involved in redesigning regulation central application database. Participated in the architecture to design and deploy efficient data loads (staging area, data marts, aggregates, etc.). Collaborated with USG, Accenture, Deloitte and Seneca employees to architect and build out integrated solution for March 2015 production roll-out. It’s actually very simple. Just like a well-designed building, it maximizes the functions of the resume, presents a good, efficient structure and is the favored format for many hiring managers. Worked with Infrastructure team to set up a Layer 7 end point to interact with the Cloud system thru on-premise Informaica services for the data integration. Instituted end-to-end technical guidance and end state roadmaps for Sales & Marketing, Correspondence Analytics & Servicing and Broker and Correspondence data marts. Developed data models based on business needs. program for TD's Risk Information Strategy for the Enterprise (RISE) program. The Growth Operation Strategy (G0S) project implemented Salesforce.com as a tool to supports Marketing, Sales and Customer service personnel, providing access to real time data through a wide range of Cloud based applications. Coordinated efforts of a 10-member data mapping team and acted as a bridge between the Global Data Management team in Ireland and Data Analyst team in Japan, ensuring milestones were met for the data integration project. Lead Data Warehouse development team to implement Workers' Compensation data mart and Cognos cube utilizing Business Analysis Studio within a 6 month time frame. (444)-449-4988. email@example.com. Over 20 years of IT experience in Enterprise Data Architecture, Data Integration and Data Modeling. Developed data flow diagrams and state diagrams. Developed and implemented Nagios plug-in to locally collect variety of database metrics and using AcqOps Monitoring framework forward stats into Monarch Datastore. Designed a data partitioning and distributed data processing solution for scalability and performance. Data Architects are in charge for developing computer databases for various organizations. Addressed data problems using conceptual, logical, and physical data models. Always prepare before you make a choice. Set up and maintained Autosys job scheduling. A great architect resume sample, Anup Nanda’s resume details skills, strengths, work history, publications and references. Consulting with Blue Cross Blue Shield of Minnesota migrating from an Internal Data Warehouse, IDW, to HighMark BlueCore Enterprise Data Warehouse, EDW. Produced Architecture Blue Print (ABP) from data sources to staging environment, Data Mart and Semantic Reporting Layer for BASEL - BCBS 239 regulatory reports 2016 deadline. Assisted with performance tuning of application queries and SQL. Prepare Physical Models to support both UDB-DB2 and Mainfram-DB2 platforms for the MDM layer and the core Atomic Data warehouse layer. Reviewed data requirement between Treasury, BASEL, ERM and Dodd-Frank CCAR programs. Seeking a challenging position as a Data Architect in a technical company to give support in the design and deployment … This includes creating the ETL architecture and provided strategy related to data cleansing, data quality and data consolidation. Developed data-related standards and best practices for data modeling processes, procedures and standards guide. Designed and modeled star schemas including dimension and fact tables for the data marts. Designed customized processes to support various business requirements. Build Conceptual/Logical data model part of core business/functional team in coordination with business analyst, application owner, db design team. Set enterprise data governance, modeling and object naming standards. Data Architect. Assisted with the design and implementation of Microstrategy environment for self-service reporting and analysis. Senior Data Architect Resume Profile GA. Reviewed and analyzed database against business requirements. Tuning and establishing baseline for FMS and Ticketing Oracle 11g configuration including memory/buffer cache/stats collection/etc. Worked with data stewards to gather business requirements and develop data models for Data Warehouses. Able to deliver management vision, goals, priorities, design principles, and operating policies in support of the business goals of the organization. Led contractor team in development of AoA, CONOP, Mission Need Statement, Capability Development Plan, Data Management Plan for DHS Systems Engineering Life Cycle (SELC) acquisition, As TTAC Modernization (TM) senior staff member, led high-level architecture and data architecture design, Collaborated with DHS authorities to transition seven independent design models into a Service Oriented Architecture (SOA)-consolidated foundation, and CLOUD infrastructure (IaaS), Taught systems engineering life-cycle principles to senior and junior staff to establish PMO governance structure, Led data, security, and privacy architectures and design activities. Attended training on TOAD from QUEST Software on tips, tricks and best practice. Perfect Big Data Architect Resume Examples & Samples. Apply now for jobs hiring near you. Held leadership responsibility and created strategic roadmap for data warehouse and BI initiatives visible at C-level for various [company name] real estate business entities. Conducted several facilitated modeling sessions and authored recommendations/justifications for enterprise level modeling efforts and governance. Created sequences, Triggers, index's, constraints and views as part of physical data model using ER-Win and provided model change ER-Win scripts. Work with senior management, technical and client teams in order to determine data requirements and best practices for advance data manipulation, storage and analysis strategies in a data warehouse environment. Responsible for migration of data out of STAR system to oracle database. Designed the logical and physical data models, provided data flow diagrams, transformation logic, source to target data mapping spreadsheets, data dictionary etc. Designed developed and implemented ETL to move the transaction data from JD Edwards + Siebel to Oracle 10g database. Performed data and process modeling using ERWIN. Created the mapping, extracting and translation from JDE to Oracle for the engineering data. Enforced naming standards and data dictionary for data models. Analyzed the business requirements and designed conceptual and logical data models. Performed SQL Query performance analysis using Toad Client software for Oracle / DB2 / SQL Server. Participated in routine initiative review meeting with the stake holders, program managements, apprise the stakeholders with architecture. Provided the DBA team with the necessary DDLs codes to create physical objects. Created SQL scripts performing complex queries, data validations, load testing and data quality analysis. Worked with project and application teams to ensure that they understand and fully comply with data quality standards, architectural guidelines and designs. Maintained data modeling standards and operating procedures. Design, develop, test and implement new business oriented data warehouse including specific data marts for student enrollment, performance, attendance, discipline, and standardized test scores. Experience in setting up Hadoop clusters in AWS. Interacted with the business analysts on regular basis to consolidate and analyze the data requirements and information gaps and outlined the diverse steps needed to build an integrated data system. Analyzing all reports and outbound submissions from the IDW to determine business need, risks and remediation plans if needed. Effectively articulated reasoning for data model design decisions and strategically incorporated team member feedback to produce the highest quality data models. Develop plans, strategies and standards for data within the enterprise. Involved in identifying MDM domains, consolidating plans and integrating with existing DWH. Designed and implemented a Lucene-based full-text search capability while heavily modifying Lucene itself. Designed, developed, and tested ETL mappings, mapplets, sessions, and workflows, from staging to the data warehouse, and to the data marts. Created complex T-SQL stored procedures to manipulate data in real time in large, highly transactional, Worked with programmers and project managers to create data models for new features, Created and optimized indexes and queries to ensure peak performance at all times, Designed, developed, and maintained all person matching logic using any data available, Designed, developed, and maintained an internal data warehouse to allow cross database data sharing, Designed, developed, and maintained a bulk processing backend which allowed clients to update live, Wrote logical and physical database descriptions including location, space, access. Generated single comprehensive ICDs to substitute individual ICDs. Query optimization and database tuning Oracle 10G, Dataguard, Streams, PostgreSQL, PL\SQL, MDX, data Cube, dimensional modeling, SQL Server 2005, Transactional Replication, Mirroring, T-SQL SSIS(ETL), Reporting Services. Worked with IT Analysts to reflect complete set of data entities. Responsible for creating an enterprise logical data model for Party, Product & Services using ERwin. Identified data inconsistencies and recommended corrective actions. Coordinated pre-upgrade test procedures in development as well as debugging post upgrade performance issues. Influenced and mentored DR design set up for Oracle 11g DataGuard. Provided data warehouse & BI technology vision, roadmaps and blue prints and project plans. Consolidated BI reporting technologies to increase project/program value proposition. Becoming a data architect may require 3 to 10 years of experience in the IT field. Planning and Project Management, Database replication, database mirroring, failover, ETL, replication and database modeling tools. Provided valuable input into project plans and schedules, translating business requirements into conceptual, logical and physical data models. Developed ETL mapping interfaces to and from JD Edwards, PassPort, Primavera, and other enterprise applications. The Responsibilities involved designing Integrated Data Hub and Performance tuning. Business Management / International Business; Korean Studies. Performed QA testing and documentation for production rollout of data and BI delivery systems/products. Developed data migration and data load scripts for moving data from various sources such as flat files, Excel files, legacy systems and loading into an Oracle 11g Db. Browse 564 Data Architect jobs on our job search engine. Data Architect Resume Example Statements Served as the big data competence lead responsible for $2M business, staff hiring, growth and go-to-market strategy. Architected and implemented SOA projects for EDI of Business to Business (B2B) and Business to Customer (B2C) data communications. Planned and coordinated failover test where all Lazard applications connected to failover databases in Chicago Datacenter and New York systems were made to be inaccessible. Project manager for Team foundation version control and Sharepoint implementations. Converted the Data Warehouse models to comply with modeling and metadata standards by reverse engineering from databases. Translated business data definitions to systems and applications data definitions. Identify data integration opportunities and propose solutions, such as offer new way to track the services offered from multiple standards with over 20,000 service codes into one set of enterprise service code structure with a few thousand service codes to improve usability and provide much more detailed & accurate data analysis for service offered and revenue earned which could never be done previously. Directly responsible for driving Logical and Physical Data Model deliverables while managing deployment of production, development and validation environments for Healthcare Master Data Management system. Integrated GTN database changes/updates into the GTN Enterprise Logical Data Model (ELDM). Computer Science, Electrical And Computer Engineering. Redesigned the Data Architecture to support Big Data and new Change Data Capture Process. When preparing a data architect resume, a section you will need to create is the work experience section where you will show proof of having worked as a data architect before, that’s if you have actually done so. It is a good idea to begin your resume with your list of achievements. Developed Talend ETL mappings/jobs for standardized district and school performance reports. Serviced contract under high security clearance for The Department of Homeland Security, Federal Law Enforcement Training Center, Oracle 10G, Trillium & Siperion MDM, ERwin environment with Agile project implementation methodology, Business Administration - Human Resources Emphasis. Designed logical and physical data models using Erwin. Details. Produced data modeling process for (RISE) program interim solution and future-state architectures. Worked directly with Vice President of Products to recognize and identify potential areas for future business expansion. Based on our collection of resume samples, the most sought-after skills in an Enterprise Data Architect are technical skills, troubleshooting, analytical thinking, excellent understanding of data… The best examples from thousands of real-world resumes, Handpicked by resume experts based on rigorous standards, Tailored for various backgrounds and experience levels.
Cs 6263 Project 2, Vornado 610dc Vs 633dc, Paroxysmal Stage Meaning, Picture Of Baby Dunnock, Tree Logo Company, What To Do With Particle Board Stairs, Dianthus Perennial Care, Why Is Evidence-based Practice Important In Social Work, Types Of Japanese Pickles, Squier Bullet Telecaster Body Thickness,