The Data Architect, Senior plays a role in the definition of
data management related strategies including data design, data
integration, data governance, data quality, metadata management,
master data management. Senior Data Architects will also
partner with the development community to provide data architecture
related expertise in a variety of projects and initiatives.
You will be working in an Agile environment on a talented business
intelligence team, delivering software solutions utilized by
internal and external customers. The candidate should have a
passion for data, as well as data analysis, and be very detailed
oriented in maintaining design and quality standards. This
position will require close collaboration with your delivery team,
product owners and managers, and the QA team. A successful
candidate will be self-motivated, work well in a team environment,
and have an ability to learn new technologies. This is a
full-time position with career growth opportunities, a competitive
base salary and full benefits package.
Essential Job Responsibilities:
•Lead the development and execution of a data architecture
roadmap for a new fraud and financial crimes product platform
•Be a key contributor to the program team and provide
authoritative technical inputs based on data quality and integrity
to the overall project to ensure success
•Responsible for influencing projects/initiatives and making
decisions related to data including data quality, data architecture
and data management best practices.
•Provide expert data modeling and data validation services that
produce flexible, extensible data structure design solutions that
support effective business decisions.
•Develop and implement strategies for the development of data
pipelines with a focus on cloud platforms.
•Mapping of relational entities to use cases or business
requirements and assisting in the development of data services.
•Create and manage an array of data design deliverables
including data models, data diagrams, data flows and corresponding
data dictionary documentation.
•Follow standards for database design and overall data
architecture to assess data quality and act as a liaison with
various technical service teams which include database
administrators and platform administrators.
•Assist in leading the development and implementation of various
strategic data architecture initiatives around master data
management, data quality, data management policies/standards, data
governance, and metadata management.
•Liaise with external partners to ensure adherence to data
requirements that enable the development of quality machine
•Serve as an advocate for the data architecture team and data
management discipline, policies and standards across the business
•Assist in determining the effectiveness of existing
technologies and processes in relation to the data architecture,
create necessary implementation/migration plans, and recommend new
solutions as required.
•Identify opportunities for sharing and utilizing data across
boundaries, thus extracting maximum benefit from the data
•Lead associates in data utilization; understanding and
interpreting raw data and converting it into information.
•Support analysts in requirements development, research and
The above statements are intended only to describe the
general nature of the job and should not be construed as an
all-inclusive list of position responsibilities.
•Bachelor’s Degree in Computer Science, Information Systems, or
other related field; or equivalent work experience.
- Masters/Ph.D. in computer science, information science,
computer engineering, mathematics, or related field -a plus
•8+ years of experience in data architecture principles,
methods, techniques and technologies.
•8+ years of experience in data modeling large, complex database
systems (350+ tables), Big Data Platform Architectures, Distributed
•Demonstrated ability to define and execute deliverables on time
and in budget.
•Proven background of designing and implementing architectural
solutions which solve strategic and tactical business needs.
Skills and Knowledge Required
•Strong technical understanding of data modeling, design and
architecture principles and techniques across master data,
transaction data and derived/analytic data.
•Deep knowledge of best practices through relevant experience
across data-related disciplines and technologies, particularly for
enterprise-wide data architectures, data management, data
governance and data warehousing.
•Highly competent with relational database design and structured
query language (SQL).
•Strong familiarity with data management tools, including
enterprise repository tools, data modeling tools, data quality
tools, data mapping tools, and data profiling tools.
•Solid understanding of Business Intelligence and Data Warehouse
technologies (e.g., Business Objects, Netezza, Oracle, SQL Server,
Informatica) Hands on experience a plus.
•Strong aptitude to learn business processes/products and the
role of data within the business domain.
•Strong conceptual knowledge of roles and responsibilities
within BI and Data Warehousing (DA, ETL, BI, DBA, SE, QA, and
•Working knowledge of Agile SDLC.
•Proficiency in at least one programming language used in data
science (e.g. R, Python) including common data science toolkits
native to that language.
•Proficiency in structured or unstructured database types and
query languages (e.g. SQL, MongoDB, HBase, Hive and Pig)
•Must be a recognized leader of data advocacy.
•Demonstrated ability to balance architectural theory with
•Ability to adapt quickly in a rapidly changing dynamic
•Ability to manage a large workload covering multiple projects
and business disciplines.
•Ability to work well with people from many different
disciplines with varying degrees of technical experience.
•Financial Industry experience a plus.
•Highly refined communication skills including facilitation,
presentation, and documentation.
•Excellent organizational skills.
•Excellent negotiating skills.
Preferred Skills and Knowledge
•Curiosity and an interest in continued learning
• Experience working with geographically dispersed teams.
•Strong interpersonal and communication skills and the
ability to work effectively with a wide range of
• Excellent organizational and self-directed skills -
ability to initiate, coordinate and prioritize responsibilities and
follow through on tasks and projects.
•Proven ability to work effectively in a team environment
as well as independently with minimal supervision
•Self-motivated team player with strong work
•Familiarity with basic concepts of fraud and financial
Fiserv is an Equal Opportunity Employer/Disability/Vet.