About This Role
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
- 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
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.
