Job Title:  Data Architect- Modeler - HYBRID

Req ID:  42091
Job Category:  Information Technology

Mentor, OH, US, 44060

Description: 

At STERIS, we help our Customers create a healthier and safer world by providing innovative healthcare and life science product and service solutions around the globe.

Position Summary

The Enterprise Data Modeler/Architect is responsible for architecting, designing and developing robust and scalable data models and deploying data structures for STERIS enterprise cloud data warehouse, data lake, data hub and other specialized data stores to support reporting, analytic and data science use cases. Works closely with business stakeholders, data engineers, and analysts to understand data and analytics needs and translate them into efficient and effective data models.

The Enterprise Data Architect \ Data Modeler leverages knowledge of data modeling best practices along with cross industry data expertise and data modeling tool expertise. Demonstrates mastery of skills and knowledge and is a mentor, strategist, thought leader, evangelist, champion, plans and leads data modeling activities.

Duties

  • Designs, implements, and documents data architecture and data modeling solutions, which include the use of relational, dimensional, and NoSQL databases. These solutions support enterprise information management, reporting, business intelligence, machine learning, data science, and other business use cases.
  • Designs and maintain conceptual, logical and physical data models for the enterprise data warehouse (EDW), data lake and other data stores, adhering to best practices and industry standards.
  • Collaborate with business stakeholders to understand data requirements and translate them into clear and concise data models.
  • Oversee and govern the expansion of existing data repositories and data architecture, and the standardization and optimization of data designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning).
  • Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
  • Conduct assessment and profiling of potential data sources to understand source data structure and content to inform design of target data models.
  • Develop and maintain data dictionaries, data glossary, and contribute to develop data catalog metadata models and content.
  • Develops, maintains and communicate standards and guidelines for data models and schema objects (e.g., naming standards). Defines and implements administration and control activities related to data warehouse planning and development.
  • Work with data engineers to ensure data models are compatible with data extraction, transformation, and loading (ETL/data pipeline) processes.
  • Document data models thoroughly, including entity relationships, data definitions, and transformations.
  • Research and apply innovations in technology and best practices related to cloud data warehousing, data lakes and data modeling.
  • Identify and recommend opportunities to optimize data models for performance and scalability.
  • Leads the selection and development of data modelling and design methodology, best practices, tools, and techniques.
  • Support data analysts and other data users in understanding and utilizing the data warehouse and data lake. #LI-KS1

Duties - cont'd

  • 6+ years of experience in data modelling, preferably with a focus on enterprise cloud data warehouses. Proven experience in designing and developing dimensional models (i.e., star/snowflake schemas).
  • Strong conceptual, logical e physical data modelling skills, data profiling skills, data quality assessment, experience with JAD sessions for requirements gathering, creating data mapping documents, writing functional specifications and queries.
  • Extensive Information Technology experience in all phases of development life cycle including System Analysis, Planning, Design, Data Modelling, Dimensional Modelling, Testing, implementation and support of data warehouses, data lakes, BI systems, and reporting applications.
  • Good understanding of data engineering and ETL, and strong experience in eliciting and documenting requirements for data transformation, data cleansing, data mapping from source to target database schemas or other data sources.
  • Experience with data warehouse, data lake and big data cloud data platforms such as Snowflake, AWS Redshift, or Google BigQuery.
  • Demonstrable experience in developing, publishing, and maintaining all documentation and metadata for data models. Experience with data catalog tools desired.
  • Expert in relational and dimensional structures for large (multi-terabyte) operational, analytical, warehouse and BI systems
  • Excellent communication, presentation and collaboration skills.
  • Experience designing and implementing role based security models.
  • Experience with data governance and data quality practices, and experience with agile methodologies.

Education Degree

Required Experience

  • This role is a hybrid role and requires in-office duties 3 days per week
  • Bachelor's Degree in Computer Science, IT or closely related field
  • Expert experience with data modeling tools such as Erwin, Embarcadero ER Studio, or IBM InfoSphere Data Architect.
  • Created and maintained database objects, tables, views, indexes, synonyms, partitions, triggers, stored procedures in the data model (using data model tool)
  • Strong expertise with version control methodology for data models.
  • Strong SQL query skills, SQL programming skills, and development of DDL scripts to create and maintain database schemas.
  • Strong knowledge of dimensional data modeling concepts. Expert knowledge of Kimball and Inmon methodologies.
  • Experience with BI, reporting and ETL tools is a plus.
  • Data profiling and data validation using SQL queries and back-end testing. Use of data profiling and data quality tools to gain understanding of source data content and assess degree of data quality.
  • Ability to conduct and lead independently users’ and SMEs’ requirements interviews, and JAR/JAD sessions to elicit data model requirements, determine data definitions, and business rules.
  • Experience with Snowflake, Oracle, MS SQL Server, Azure Data Lake Storage, Databricks, Informatica IDMC or PowerCenter, Tableau and Cognos preferred.
  • Experience with Agile SDLCs and DevOps #LI-KS1

 

STERIS is a leading global provider of products and services that support patient care with an emphasis on infection prevention.  WE HELP OUR CUSTOMERS CREATE A HEALTHIER AND SAFER WORLD by providing innovative healthcare, life sciences and dental products and services. STERIS is a $5 billion, publicly traded (NYSE: STE) company with approximately 17,000 associates and Customers in more than 100 countries.

If you need assistance completing the application process, please call 1 (440) 392.7047. This contact information is for accommodation inquiries only and cannot be used to check application status.

STERIS is an Equal Opportunity Employer.  We are committed to equal employment opportunity and the use of affirmative action programs to ensure that persons are recruited, hired, trained, transferred and promoted in all job groups regardless of race, color, religion, age, disability, national origin, citizenship status, military or veteran status, sex (including pregnancy, childbirth and related medical conditions), sexual orientation, gender identity, genetic information, and any other category protected by federal, state or local law.  We are not only committed to this policy by our status as a federal government contractor, but also we are strongly bound by the principle of equal employment opportunity.

The full affirmative action program, absent the data metrics required by § 60-741.44(k), shall be available to all employees and applicants for employment for inspection upon request. The program may be obtained at your location’s HR Office during normal business hours.

Req ID:  42091
Job Category:  Information Technology

Mentor, OH, US, 44060


Nearest Major Market: Cleveland
Nearest Secondary Market: Akron

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