Lead Senior Cloud Data​/Datastore Engineer, VP

Lead Senior Cloud Data/Datastore Engineer, VP page is loaded## Lead Senior Cloud Data/Datastore Engineer, VP locations:
Jersey City, NJ:
Tempe, AZ:
Tampa, FLtime type:
Full time posted on:
Posted Todayjob requisition :
-WDDiscover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. Across the globe, we’re 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.

With a vision to be the world’s most trusted financial group, it’s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.

Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.

The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details.
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* Job Summary:

** Seeking senior engineer with database, automation and development experience. (Hands-on engineering role focused on design, development and maintaining best practices for data stores)
Position requires an experienced IT professional with advanced knowledge of developing automation modules and management of platforms that support Cloud Architecture, Cloud Data stores, Cloud Migration and Operational Activities.

This role is within the Data-Platforms group, involves advancing cloud database automation techniques, developing cloud resource provisioning using Terraform / Cloud formation, data conversion & migration expertise, integration with different data workflow engines, familiarity with relational, No-SQL and data warehousing datastore internals.

Software development with experience in data-driven environment is a plus – Familiarity with variety of development methods and tools;
Safe Agile practices;
Background of AWS Cloud (preferably) with exposure to Dev Ops practices.
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* Key Responsibilities:

*** Provide expert level IT technical services, including direction, evaluation, selection, configuration, implementation and integration of new and existing technologies for Cloud.
* Responsible for development of methods, tools and data services to support operations of cloud infrastructure, provisioning, monitoring with IaaS, PaaS and SaaS models
* Deploy, automate, maintain and manage AWS cloud-based Production systems – ensure availability, performance, scalability and security
* Expertise with CI/CD delivery frameworks (e.g. Jenkins, Azure Dev Ops) infrastructure as code tools (Terraform, Cloud Formation), configuration, management/orchestration tools (e.g. Puppet, Ansible) and Code maintenance (GIT)
* Accountable for developing operational methods to review metrics / scorecards for cloud platform;
Develop appropriate GUI interfaces and dashboards for effective management
* Manage the governance framework for DB-Services specific to hybrid and public cloud platforms, adhering to company security standards and integration with existing tools.
* Partner, collaborate and drive accountability with internal teams and technology vendors.
* Anticipate technological changes within a rapidly evolving environment. Suggest architectural and design improvements. Recommend process improvements
* Evaluate New technology – socialize & influence multiple internal teams (App-Dev, Architecture, Infrastructure, Security teams in the firm)
* Use scale agile development methodologies and work in product mindset environment
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* Qualifications:

**** Required**:
* Have a bachelor’s degree or equivalent
* Have either and AWS associate or professional certification (or equivalent)
* Minimum of 10 years of IT experience or equivalent with programming and DBMS (datastore) management
** Essential Experience**:
* Strong database experience in Cloud and on-premises database systems (Oracle, SQL server, Postgre

SQL, Mongo

DB, Hadoop Bigdata, DW systems such as Snowflake/data bricks)
* Minimum of (2)…