AWS Datastore Solutions Architect
AWS Datastore Solutions Architect
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1 Vacancy
Job Description
Playing an essential role in the U.S. economy Fannie Mae is foundational to housing finance. Here your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home.
Job Description
As a valued contributor to our team you will provide expert advice to the team and participate in designing developing testing and/or maintaining hardware technology and/or processes.
THE IMPACT YOU WILL MAKE
The AWS Datastore Solutions Architect is responsible for driving the Fannie Mae database Cloud Pattern Development and Manage the Catalog of Services. The advisor is also responsible for driving the adoption across a diverse user community.
The AWS Datastore Solutions Architect role will offer you the flexibility to make each day your own while working alongside people who care so that you can deliver on the following responsibilities:
Participate in discovery or visioning phase to create a high-level design approach and key architectural decisions that impact the business
Develop a cloud native architecture that optimizes flexibility scalability performance and resiliency
Frequently interact with the business aligned with the Product to integrate knowledge of the business and functional priorities
Work side-by-side with developers on new patterns
Recommend new technologies and identify innovation opportunities to improve service architecture strategy
Participate in the DWG to review and ensure design is aligned with defined principles
Develop and socialize cloud service patterns that support business application consumption.
Serve as the final accountability on the service portfolio and roadmap decisions for cloud patterns.
Ensure products are enterprise ready
THE EXPERIENCE YOU BRING TO THE TEAM
Minimum Required Experiences
6 years
Desired Experiences
8 years of Experience
Bachelor degree or equivalent
Strong technical resource in the area of Database Engineering/Administration and DevOps Automation with AWS and cloud IAAS and PAAS for managed database and supporting technologies. This role specializes in end to end AWS DB Cloud tool development and database automation from data store selection to Implementation in production. The role requires expert hands-on knowledge of Redshift Aurora-Postgres AWS database migration tool AWS Schema Conversion tool and RDS EC2 DMS SCT EMR Athena Kinesis Elastic Beanstalk Lambda Step-Functions ECS VPC CloudWatch Document DB Neptune Sagemaker S3 IAM SNS. Ideal candidate should have good experience with DevOps and Sysops with associated AWS Certifications.
DevOps/Automation skills:
Development of automation tasks for automate Entitlement management for Oracle database.
Development of scripts to automate back and restore in Oracle MS Sql server and PostgreSQL.
Development of automation script for installing and monitoring various middleware tools.
Development of scripts using Python Perl and Shell scripting
Development of CI/CD pipeline using AWS Code build and code pipeline.
Flyway implementation for applications
Skill Set Summary:
UNIX Shell Scripting Windows PowerShell Python PL/SQL PL/PGSQL Ruby DSL JSON YAML Spark HQL Gremlin SQL
AWS Services:RDS EC2 DMS SCT Redshift EMR Athena Elastic Beanstalk Lambda Step-Functions ECS VPC CloudWatch Document DB Neptune Sagemaker S3 IAM SNS BI & Analytics :Tableau Splunk Quick sight
ETL: Talend Pentaho
Bigdata: Hadoop Hortonworks AWS EMR Gluent
NoSQL: HBase Dynamo Neptune Mongo/Document DB Cassandra
Cloud Environment: Amazon AWS Microsoft Azure
RDBMS/SQL: Oracle 11x/12x/19x Postgres 9.6.x/10.x/11.X MS-SQL Server 2008/2012/2014Amazon RDS Aurora Amazon Redshift
Architecture /modelling: ER Studio Data architect Gliffy Lucid Chart MS Visio
Monitoring: Cloudwatch Splunk Moogsoft AIOps SiteScope
Data movement: Oracle Goldengate Delphix Sqoop AWS DMS
IDEs: Visual studio code Eclipse Jupyter Notebooks Version control tools:Git Bit bucket Flyway
Infrastructure Automation: AWS Cloudformation Terrafrom
Agile Tools: Jira Leankit
Ticketing: ServiceNow HPSM JIRA
Collaboration tool: SharePoint Confluence
Certifications and Rewards: Oracle AWS
Cloud Infrastructure - Engineering - Advisor
Target Salary Range: $152000 to $205000 a year
#LI-Hybrid
Qualifications
Education:
Bachelors Level Degree (Required)The future is what you make it to be. Discover compelling opportunities at most roles employees are expected to work onsite on a regular basis at their designated office -office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.
Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race color religion sex national origin disability age sexual orientation gender identity/gender expression marital or parental status or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process please complete this form.
The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to skill set depth of experience certifications and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package Fannie Mae offers a broad range of Health Life Voluntary Lifestyle and other benefits and perks that enhance an employees physical mental emotional and financial well-being. See more here.
Requisition compensation:
152000to
205000Employment Type
Full Time
