IT Architect Specialist - Data Architecture

New York, NY, United States

Job Description

IT Architect Specialist - Data Architecture

The world of finance moves fast. At FIS, we're faster. Our teams are empowered to learn, grow, and make an impact-in their careers and communities. We deliver innovation that advances the way the world pays, banks and invests.

We invite you to apply for Capital Markets Data and AIML Technology enablement team as IT Architect Specialist for Data Architecture. We are a tight-knit, supportive community passionate about on delivering the best experience for our Capital Markets Products and LOB stakeholders while remaining sensitive to their unique needs. We are looking for a leader who can join us and drive our Data Technology Capabilities and accelerate our product development across the Capital Markets.

About the role:

As an IT Architect Specialist - Data Architecture, you'll report to the Capital Markets - Head of Data Engineering and will work with various teams to determine how they can use their data to gather intelligence and build market ready solutions. You will be responsible for leading efforts to develop and deliver complex data products to accomplish technology and business goals.

What you will be doing :

Expertise

• Subject matter expert in Data Architecture, Data Integration, Data Persistence & Data Analytics platforms and well-architected patterns.

• Defines appropriate architecture principles and standards, patterns, blueprints, best practices and frameworks in the Data Architecture to support product development across the organization.

• Supports the design patterns for building Integrations - ETL/Streaming/Near Realtime

• Supports the design patterns for building Data Models, Meta data layers leveraging Snowflake data warehouse platform.

• Supports the design patterns to build dashboards, reports, online analytics etc on cloud driven BI tools (Azure Power BI, AWS Quicksight etc) and standard BI tools (Tableau, SSRS etc)

• Supports the build of data technology capabilities and the migration of analytics artifacts from legacy solutions to modern platforms

Enablement

• Engages various technology and product stakeholders and work through from business objectives to a solution design based on their unique product requirements.

• Designs architectures, functional solutions and implementation ready approaches for various FIS products and key initiatives to accelerate the build of BI Solutions.

• Creates architecture specifications and other design artifacts representing the approach and effect of new proposed solutions

• Facilitate technical and business sessions required to alignn solution architecture with business and technology objectives throughout the development life cycle

• Provides implementation guidance to a variety of products and key Data initiatives throughout the product development life cycle.

• Work with the several Project teams to help align, implement, and accelerate the development. Manage POCs , design updates, product changes, project escalations.

Platforms & Technology

• Lead the development of standard Platforms that would provide various data technology capabilities (Integrations, Data Persistence, Data Computation, Orchestration, Analytics, AIML, Governance)

• Develop cost effective scalable and future proofing infrastructure solutions based on the requirements for product services that covers both functional and non-functional requirements.

• Support application level integrations from a variety of source systems (cloud and non-cloud applications)

• Manages the operating model for the platform teams to onboard, build and support the roll out of products.

Leadership

• Manage a team of resources that would maintain and support the central platforms.

• Define clear and concise objectives for the architects and developers to enable the product level implementations

• Provide the thought leadership and support the evolution of product roadmaps

• Engage strategic vendors and streamline the relationships for appropriate tool usage across the organization.

Communities of Practice

• Provide educational/mentoring resources to various teams and resources

• Lead the evolution of Community of Data & AIML Practitioners across the organization.

• Communicate system architecture to technical and business audiences.

• Documents opportunities to leverage inter-project synergies, application and enterprise software or infrastructure asset re-use and opportunities to expose application assets for enterprise consumption.

• Defines, constructs, supports and provides training for enterprise framework

• Demonstrate strong understanding of the business objectives of projects, and align the reporting solutions accordingly

• Participate in the conceptual phases of identifying and solving business problems and initiatives as a Business Intelligence and Analytics subject matter specialist

What you will need:

KNOWLEDGE, SKILLS, & ABILITIES

• Expert at using some of the ETL & Streaming tools ADF, Glue, Adeptia, Talend, Informatica, Kafka etc

• Experience with data modelling, building data schemas (normalized, flat, star, snowflake, etc)

• Expert at using some of the BI reporting tools such as Tableau, SSRS, Power BI, Quicksight, Looker, MicroStrategy, BusinessObjects, ThoughtSpot or any other

• Hands on experience with database operations, db optimizations, querying, query optimizations, profiling in both ER driven (such as MS SQL Server, Oracle, PosgreSQL etC) and NoSQL database systems (MongoDb,CosmosDB etc)

• Familiarity with the Data Science models and Machine Learning engineering practices.

• Experience working with Identity & Access Management (IAM) on architecture strategies for integrating with applications.

• Expertise with end-to-end systems development life cycles and a background leading large projects.

• Experience designing and implementing applications in a shared service environment.

• A bachelor's in computer science or engineering, or the equivalent experience - post-graduate education desired.

Added bonus if you have Certification(s)

Snowflake: SnowPro Advanced Data Engineer or

Microsoft Certified: Azure Database Administrator or Associate Azure Data Engineer Associate or

AWS Certified - AWS Certified Data Engineer - Associate

What we offer you:

At FIS, we hire the best. In return, you receive exceptional benefits including:

• Opportunities to innovate in fintech

• Tools for personal and professional growth

• Inclusive and diverse work environment

• Resources to invest in your community

• Competitive salary and benefits

Privacy Statement

FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.

EEOC Statement

FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here

For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.

Sourcing Model

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

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