Senior Data Architect (Data Architecture Lead Analyst - VP)

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

We are seeking a Highly experienced Senior Data Architect (Data Architecture Lead Analyst - C13) with strong hands-on experience in developing conceptual, logical and physical data model for Issuer Services. This role will focus on designing and implementing strategic, state-of-the-art data solutions within Citi's data governance framework. The ideal candidate will possess a strong understanding of data architecture principles and a proven track record of developing large-scale data models that cater to multiple lines of business.

Responsibilities:

• Design modern, scalable data architectures using Cloud and On Premises Solution,

• Develop conceptual, logical, physical models, establish and enforce data governance, lineage and meta data management practices.

• Lead integration efforts across multiple data sources including transactional system, API’s, data lake and streaming data.

• Define model and rationalize target state architecture, socialize with key stakeholders and conduct walkthrough

• Determine database structural requirements by analysing issuer business, applications and data from existing systems

• Participate in requirement engineering and working groups and collaborate with business leads, operations, SMEs, technologists and governance teams

• Incorporate data standards and implement governance model

• Develop data flows, ownership matrixes and data lineage

• Implemented physical data model, contribute to the system and operational design, carry out optimization for usability and performance

• Influence and negotiate with senior leaders across functions, as well as communicate with external parties as necessary

• Develop architecture, strategy, planning, and problem-solving solutions on an enterprise level

• Design and maintain blueprint of the information architecture, data integrations and controls aligned to the renewed business strategy

Qualifications:

• Significant hand-on experience in Data Architecture, Data Science and/or Data Modelling expertise

• Hands on experience in Hive, Hadoop, Impala, Tableau, Kafka, BI Tools, Scala, highly preferred

• Good knowledge of relational/OLTP/OLAP/Big Data concepts

• Good knowledge of modelling and architecture tools such as Magic Draw, Erwin etc.

• Experience in modelling and building complex IT systems

• Expertise in Data Management methodologies involving architecture, modelling, storage, security

• Good understanding of data governance - defining strategy, developing goals, principles and policies

• Prior experience in data integration, interoperability and data quality solutions

• Analytical and problem solver, excellent verbal, written and presentation skills

• Experience in financial services specially the security market

Education:

• Bachelor’s degree/University degree or equivalent experience

• Master’s degree preferred

• Certification in Data Architecture / Modelling is a plus

By joining Citi Dublin, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed) and enjoy a whole host of additional benefits that support you (and your family) to be well, live well and save well. Discover more here.

Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day.  We want the best talent around the world to be energised to join us, motivated to stay, and empowered to thrive. 

Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities.

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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