This role focuses on defining database and data warehousing requirements, conducting data model reviews, and building data security and management into solutions. It involves consulting with internal teams and client stakeholders on proposed solutions, with a strong emphasis on data modeling and understanding data flows within the organization.
Responsibilities
Work with business leads and systems implementation partners to define database/data warehousing requirements and data interfaces
Conduct data model reviews with project team members/business subject matter experts
Work with other architects and engineering leads to build data security, management and engineering excellence into all solutions
Consult with internal teams and client stakeholders on proposed solutions and how they’ll be developed/deployed and used
Leverage automation in every part of a solution to accelerate and optimize all solutions
Work with internal resources and system implementation partners to design Datawarehouse and DataMart structures
Identify data requirements and related KPIs, metrics, etc.; perform and document data source gap analysis
Participate and drive proof-of-concept or prototyping of data systems and data solutions
Participate in architectural reviews, ensuring the best patterns are in place, while early identifying upstream and downstream side effects
Work heavily with stakeholders and perform data modelling with less of a focus on enterprise or infrastructure architecture
Create documents that ensure consistency in development across the organization
Work with key stakeholders to understand the data flows within the organization and their needs
Manage data management workstream
Assess the logical and physical data models required to deliver this
Enable the build of a greenfield data warehouse which sits on top of their existing data lake and allows the teams to deliver effective analytics
Facilitate conceptual discussions to meet business objectives
Define usage patterns and anti-patterns for data systems, processing, modelling, and storage technologies
Bring a holistic brand and enterprise view into new data system design
Work within and across practices and organizations to design leading-edge technology or application solutions that result in profitable revenue growth for Unisys
Conceptualize, architect, design, implement and support integrated solutions for client engagements
Demonstrate extensive knowledge of industry, technology and strategy trends and use this knowledge to generate profitable revenue growth for Unisys
Build relationships with product development organizations and be recognized by these organizations as a key product champion who adds value through exposure to client situations
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Advise, analyze, research, design, install and implement complex integrated solutions for an entire enterprise
Interface extensively with the client’s senior management team (e.g., the IT Directors) on business, systems architectural, and technical issues
Provide mentoring and team leadership to other architects
Develop the integrated technology requirements project plan
Integrate complex solutions into new or existing client environments
Use advanced diagnostic analytical and design capabilities
Ensure that the best solution is provided to the customer (e.g., complete solution integrity engineering and development attributes)
Requirements
University degree or equivalent experience and a minimum of 10 years of experience in a broad range of data sources including SQL and NOSQL
5+ years of Data Architect experience
Experience in one or more related cloud platform technology areas that interests you, for example: SQL Server, Data Lake Storage, Data Movement/Transformation e.g. Azure Data Factory/AWS Glue, Data Analytics e.g. Databricks/Synapse/BigQuery, Data Cataloguing, Data Quality, Data Lineage, Data Governance, Data Mesh/Lakehouse, Master Data Management etc.
Some knowledge of common industry tooling covering areas such as ingestion, streaming, storage, visualisation etc.
Experience with hands-on implementation on cloud platforms including at least one of: Microsoft Azure, Amazon Web Services, Google Cloud
Experience in architecting and designing the migration of data from one data source to another in which the data sources are not of same type such as Mainframe to Modern Databases such as Oracle
Design experience on Data Vault, Data Lake and Mart technologies in Cloud
Experience using advanced SQL functions and query performance tuning
Experience of design within a data science environment (AWS S3/ Jupyter notebooks)
Familiar with a variety of modelling approaches, tools and model repositories
Experience of Data Catalogue tools (e.g. Collibra, Informatica)
Strong knowledge of master data management
Knowledge of Business Objects, Tableau etc
Knowledge and/or experience with service-oriented architecture entities and frameworks
Knowledge of database performance/tuning/measurement, as well as user access and data manipulation
Data warehousing, including business line and enterprise data warehouses, operational data stores, and business intelligence data structures
Experience in Conceptual, Logical, and Physical Data Model design
Strong knowledge of entity relationships
Hands on skills in SQL, Python, AWS & Azure infrastructures, Alteryx & Tableau
Strong knowledge of SQL, C#, SOA and web services
Documented experience (at least 2 years) with ETL in the context of data warehouses
Knowledge of Big Data environments (Hadoop & PhP)
Seeing the Big Picture
Strong expertise and experience in data analytics, data visualization, machine learning and predictive modelling
Define policies, procedures and models for data collection, storage, structure, access, manipulation, access and visualization
Define technologies and tools used at various stages of data driven solution creation, maintenance and operation
Understand and connect business and technology aspects of data and its usages
Expertise and experience to translate data related business requirements into technology solutions
Deep expertise of various form of databases – RDBMSs, MongoDB, Cassandra, Hadoop, Spark etc. and database query languages – SQL, NoSQL
Strong expertise in business intelligence (BI) software – Tableau, Power BI, Chartio, and related programming languages – Python
Important Details
This role may require access to export-controlled commodities and technology. Therefore, to conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.
About the Company
Unisys is an equal opportunity employer that considers all qualified applicants without regard to age, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law.
