ตัวอย่าง Resume สถาปัตยกรรม (Architecture) ฉบับที่ 235
Resume Example Architecture #0235 ประมาณ 1284 คำ
เรซูเม่ฉบับนี้เป็นตัวอย่างสำหรับตำแหน่ง Sr. Director Enterprise Data and Analytics / Job Description (summarized): ระดับผู้บริหาร มีประสบการณ์รวมประมาณ 19 ปี เรานำมาวิเคราะห์เพื่อให้เห็นว่า โครงสร้างมีจุดเด่นอย่างไร และส่วนใดนำไปปรับใช้กับข้อมูลของคุณได้
จุดเด่นของฉบับนี้ แสดงประสบการณ์ทำงาน 5 ตำแหน่ง พร้อมหน้าที่และผลงานของแต่ละช่วงอย่างเป็นลำดับ
สิ่งที่ควรสังเกตในตัวอย่างนี้
- ประวัติงานต่อเนื่อง 19 ปี เห็นการเติบโตของตำแหน่งได้ชัด
- ประสบการณ์ 5 ตำแหน่ง ไล่ระดับจาก Junior ขึ้นไปจนถึงตำแหน่งปัจจุบัน
- Professional Summary กระชับ ใช้คำที่สื่อความสามารถได้จริง
- มีทักษะแยกเป็นหมวด 9+ รายการ ให้ HR เห็นสเปกครบถ้วน
Professional Summary
Seasoned Enterprise Architect offering 19 years of Financial Services industry success. Expert in application architecture, data architecture, engineering and development. Accomplished at defining enterprise & business portfolio level data and IT strategies and roadmaps. Expert on architecting and engineering data lakes, data warehouses, data marts and data APIs. Analytical problem-solver with a detail-oriented and methodical approach. An inquisitive professional investing in constant learning, industry trends and self-development.
Experience
Sr. Director Enterprise Data and Analytics / Job Description (summarized):01/2020 - Current
Jabil Inc.
- Planning and Coordination
- Organization and Time management
- Product delivery processes
- Agile development environments
- Flexible & Adaptable
- Excellent work ethic - Leadership
- Lead and manage 3 NextGen teams, Lake Engineering, Platform Engineering and AWM Data Enablement team
- Collaborate with cross functional teams to define goals for each team, build shared strategies and roadmaps
- Define and drive layered set of roadmaps to deliver foundational capabilities for data ecosystems, descriptive analytics, ML based analytics and integration of analytics with operational functions
- Enable a Product oriented, Agile/Scrum based Execution Process
- Foster a culture of continuous learning, innovation and self-enablement
Achievements Summary
- Re-organized team to better align with organizational goals. Each team is organized around the concept of Product, with a Discovery and Delivery activities. The discovery activities are executed Kanban style, Delivery activities leverage 3 week sprints
- Implemented living breathing Product Roadmaps, refreshed, socialized and re-prioritized every quarter for each team
- Implemented White-glove service to onboard business teams and facilitate their transformation. The interaction focuses on producing a shared roadmap driving team's transition to the new ecosystem
- Drove development of Infrastructure Automation & playbooks enabling Lake Engineering Team to setup 2 Lake ecosystem in 4 weeks each
- Drove Proof of Concepts focused on evaluation and adoption of AWS Lake Formation and Amazon QuickSights - Actively driving proof of concept for Amazon SageMaker as an alternative offering to COTS like Dataiku and DataRobot
- Extended internal YULE Framework to automate and re-use control plane functions like User setup, Access Management, Data Processing State Management, Monitoring, Logging and Alerting
- Delivered AWM Data Lake Ecosystem integrating 670+ datasets across 44 systems, enabling 125+ users across 36 teams with access, building and delivering 29 use cases and another 45 in-progress
- Actively driving and partnering with cross-functional teams to identify NLP based analytics opportunities, explore Amazon Comprehend and Textract
- Actively driving and partnering with 2 business teams to consolidate insights developed using supervised learning to produce Client and Advisor 360 view, Proof of Concept using Graph Databases and Graph Analytics
- Actively driving architecture, engineering and build of an LOB use case looking to build a foundational platform producing insights for Financial Advisors. Platform enables the data scientists to leverage Rules-based, Predictive and Micro-segmentation based algorithms to produce insights, enables CI/CD based pipeline to deploy algorithms and leverages AWS technologies like DynamoDb, AppSync and GraphQL to deliver insights to various Operational front end
Sr. Enterprise Data Architect / Job Description (summarized):11/2014 - 12/2019
Ameriprise Financial Inc
- Lead complex projects and ensure success of enterprise-level application rollouts. Determine and develop architectural approaches and solutions by conducting business reviews, documenting current systems, and developing recommendations at capability level
- Proactively assist in defining future projects. Bring enterprise perspective to all initiatives. Ensure projects comply with enterprise architecture. Develop/maintain key strategy artifacts
- Evaluate current architecture and influence future strategy and road maps with proactive feedback. Lead analysis of current Technology environment to detect critical deficiencies and recommend solutions for improvement
- Research, introduce and transition new technology into the organization. Research, test and recommend tools and practices for potential implementation
- Articulate, advocate and support architecture perspective in strategy and delivery discussions with technology and business unit leaders
Achievements Summary:
- Designed Reference Architecture for Data Lake Ecosystems @ Ameriprise. Worked with a cross section of leaders to position AWS and its offering as a core set of technologies. Reference Architecture leveraged $3 as the core underlying storage, Lambda, SNS, SQS, EMR Spark and Glue
- Designed Lake of Lakes view, positioning LOB Data Lake ecosystems working together to enable vertical LOB and horizontal capabilities like Compliance and Finance
- Designed logical data architecture for the lake comprising of Staging, Structured, Curated and Analysis Zones. Laid out starter principles for data management in each zone
- Designed an internal Data Processing framework (YULE) focused on building Accelerators for loading data and data pipelines. Build accelerators for CSV, Multi-record, Fixed and XML file formats. These accelerators over time have brought down pipeline build time to 15 - 20 hours
- Designed multiple consumption patterns for descriptive analytics and operational query needs comprising of Athena, EMR Presto and Amazon Redshift covering a spectrum of potential non-functional needs of consuming functions
- Served as a key leader in Data / Services transformation for Advice and Wealth Management LOB. Leveraged ODATA to define a RESTful Services Model and Protocol for Ameriprise
- Designed conceptual architecture consisting of multiple layers to meet a broad spectrum needs. The layers were designed with re-use, performance and isolation of business needs in mind
- Led design of 100+ services laying out design patterns, best practices along the way and training multiple Data Architects in the process and technique of Service design
Senior Architect - Data Architecture02/2011 - 10/2014
Ameriprise Financial Inc.
- Effectively lead and oversee team of architecture professionals (employee, contract employee or vendor) in manner that ensures effective execution of project deliverables (in terms on time, quality and budget). This includes: recruitment, performance management, salary administration, career planning and budget management. Facilitate professional growth and development of architecture team.
- Develop current to future state architecture road maps. Align and promote enterprise technology (data, infrastructure, applications and security) principles and strategy. Contribute to and author application and capability strategies. Establish, maintain and apply architecture standards, disciplines and principles.
- Use appropriate design techniques and methodologies to translate project requirements into detailed designs, consistent with platform strategy and road map. Design external system interface architecture that includes appropriate application of techniques and standards. Determine integrated hardware and software architecture solutions that meet performance, usability, scalability, reliability, security and business/functional requirements. - Create effective and efficient control patterns, conduct risk evaluations, and enforce policies and standards to enable enterprise to conduct business at appropriate level of risk. Research and recommend technology to improve current systems. Ensure capabilities are reviewed and compliant with appropriate levels of risk respective to hardware/software currency, performance/availability, security and information/transaction integrity and drive the awareness of required improvements.
- Maintain deep expertise in architectural modeling, frameworks, emerging technologies, and best practices. Mentor and develop less experienced technical staff. Provide technical leadership in both business-as-usual and crisis conditions. Recommend new procedures and processes to drive desired results on diverse projects. Perform industry research with external parties and maintain networks amongst peers.
- Develop and communicate governance parameters that take into account stakeholders' interests and processes with measurable results. Partner with other architects to ensure alignment and integration across portfolio boundaries and promote an enterprise focus on applications management. Develop and build strong relationships within and across the lines of business and use effective communication skills to influence and accomplish strategic application architecture objectives.
Education
- Bachelor of Science: Accounting And Economics Mumbai University - Mumbai, India
Skills
Business planningBig Data ManagementMachine learningMLOpsDataOpsService Oriented ArchitectureMicro ServicesData Warehousingdata mart expertise
สรุปว่าจะได้อะไรจากตัวอย่างนี้
ตัวอย่างนี้ช่วยให้เห็นแนวทางการเขียนเรซูเม่สำหรับตำแหน่ง Sr. Director Enterprise Data and Analytics / Job Description (summarized): ประสบการณ์ 19 ปี โดยเปิดด้วยบทสรุปที่บอกจุดเด่นของผู้สมัคร ตามด้วยประสบการณ์ทำงาน 5 ตำแหน่ง และข้อมูลการศึกษาที่จำเป็น พร้อมทักษะที่เกี่ยวข้องกับงาน คุณสามารถนำลำดับและวิธีนำเสนอไปปรับใช้ โดยเปลี่ยนรายละเอียดให้ตรงกับประสบการณ์จริงของคุณ
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