jessica claire montgomery street san francisco ca 94105 555 4321000 resumesampleexamplecom professional summary seasoned enterprise architect offering 19 years financial services industry success expert application architecture data architecture engineering development accomplished defining enterprise business portfolio level data strategies roadmaps expert architecting engineering data lakes data warehouses data marts data apis analytical problemsolver detailoriented methodical approach inquisitive professional investing constant learning industry trends selfdevelopment skills business planning data architecture data management practice data lake architecture design big data management machine learning mlops dataops service oriented architecture micro services data warehousing data mart expertise work history 012020 current sr director enterprise data analytics jabil inc asheville nc job description summarized planning coordination organization time management product delivery processes agile development environments flexible adaptable excellent work ethic leadership lead manage 3 nextgen teams lake engineering platform engineering awm data enablement team collaborate cross functional teams define goals team build shared strategies roadmaps define drive layered set roadmaps deliver foundational capabilities data ecosystems descriptive analytics ml based analytics integration analytics operational functions enable product oriented agilescrum based execution process foster culture continuous learning innovation selfenablement achievements summary reorganized team better align organizational goals team organized around concept product discovery delivery activities discovery activities executed kanban style delivery activities leverage 3 week sprints implemented living breathing product roadmaps refreshed socialized reprioritized every quarter team implemented whiteglove service onboard business teams facilitate transformation interaction focuses producing shared roadmap driving teams transition new ecosystem drove development infrastructure automation playbooks enabling lake engineering team setup 2 lake ecosystem 4 weeks drove proof concepts focused evaluation adoption aws lake formation amazon quicksights actively driving proof concept amazon sagemaker alternative offering cots like dataiku datarobot extended internal yule framework automate reuse control plane functions like user setup access management data processing state management monitoring logging alerting delivered awm data lake ecosystem integrating 670 datasets across 44 systems enabling 125 users across 36 teams access building delivering 29 use cases another 45 inprogress actively driving partnering crossfunctional teams identify nlp based analytics opportunities explore amazon comprehend textract actively driving partnering 2 business teams consolidate insights developed using supervised learning produce client advisor 360 view proof concept using graph databases graph analytics actively driving architecture engineering build lob use case looking build foundational platform producing insights financial advisors platform enables data scientists leverage rulesbased predictive microsegmentation based algorithms produce insights enables cicd based pipeline deploy algorithms leverages aws technologies like dynamodb appsync graphql deliver insights various operational front end 112014 122019 sr enterprise data architect ameriprise financial inc city state job description summarized lead complex projects ensure success enterpriselevel application rollouts determine develop architectural approaches solutions conducting business reviews documenting current systems developing recommendations capability level proactively assist defining future projects bring enterprise perspective initiatives ensure projects comply enterprise architecture developmaintain key strategy artifacts evaluate current architecture influence future strategy road maps proactive feedback lead analysis current technology environment detect critical deficiencies recommend solutions improvement research introduce transition new technology organization research test recommend tools practices potential implementation articulate advocate support architecture perspective strategy delivery discussions technology business unit leaders achievements summary designed reference architecture data lake ecosystems ameriprise worked cross section leaders position aws offering core set technologies reference architecture leveraged 3 core underlying storage lambda sns sqs emr spark glue designed lake lakes view positioning lob data lake ecosystems working together enable vertical lob horizontal capabilities like compliance finance designed logical data architecture lake comprising staging structured curated analysis zones laid starter principles data management zone designed internal data processing framework yule focused building accelerators loading data data pipelines build accelerators csv multirecord fixed xml file formats accelerators time brought pipeline build time 15 20 hours designed multiple consumption patterns descriptive analytics operational query needs comprising athena emr presto amazon redshift covering spectrum potential nonfunctional needs consuming functions served key leader data services transformation advice wealth management lob leveraged odata define restful services model protocol ameriprise designed conceptual architecture consisting multiple layers meet broad spectrum needs layers designed reuse performance isolation business needs mind led design 100 services laying design patterns best practices along way training multiple data architects process technique service design 022011 102014 senior architect data architecture ameriprise financial inc city state effectively lead oversee team architecture professionals employee contract employee vendor manner ensures effective execution project deliverables terms time quality budget includes recruitment performance management salary administration career planning budget management facilitate professional growth development architecture team develop current future state architecture road maps align promote enterprise technology data infrastructure applications security principles strategy contribute author application capability strategies establish maintain apply architecture standards disciplines principles use appropriate design techniques methodologies translate project requirements detailed designs consistent platform strategy road map design external system interface architecture includes appropriate application techniques standards determine integrated hardware software architecture solutions meet performance usability scalability reliability security businessfunctional requirements create effective efficient control patterns conduct risk evaluations enforce policies standards enable enterprise conduct business appropriate level risk research recommend technology improve current systems ensure capabilities reviewed compliant appropriate levels risk respective hardwaresoftware currency performanceavailability security informationtransaction integrity drive awareness required improvements maintain deep expertise architectural modeling frameworks emerging technologies best practices mentor develop less experienced technical staff provide technical leadership businessasusual crisis conditions recommend new procedures processes drive desired results diverse projects perform industry research external parties maintain networks amongst peers develop communicate governance parameters take account stakeholders interests processes measurable results partner architects ensure alignment integration across portfolio boundaries promote enterprise focus applications management develop build strong relationships within across lines business use effective communication skills influence accomplish strategic application architecture objectives education bachelor science accounting economics mumbai university mumbai india