Enterprise Data Architect
Enterprise Data Architect
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1 Vacancy
Job Description
SUMMARY
As the Enterprise Data Architect you will play a crucial role in shaping the data landscape at our organization. You will be responsible for developing and governing data architecture ensuring data integrity security and scalability. The ideal candidate will be responsible for creating and implementing data models optimizing data storage and retrieval processes. The Data Architect will work closely with IT leadership data engineers application analysts and business stakeholders to ensure efficient data management and utilization.
RESPONSIBILITIES
Design develop and implement accurate scalable data architectures to support business needs across a myriad of complex systems.
Define and enforce data governance policies standards and best practices.
Create and maintain data models including conceptual logical and physical models.
Maintain modeling and naming standards and data normalization meta data management source to target data mapping documentation using industry standard tools.
Establish a Master Data Management program that will help create a common view of master data and provide a centralized mechanism for its aggregation cleansing transformation augmentation validation syndication and enterprisewide system sources of truth.
Collaborate with IT and business stakeholders to understand data requirements communicate solutions and translate them into technical designs.
Implement data integration strategies and Extract Load Transform (ELT) processes.
Oversee data pipelines integration workflows and ETL/ELT processes using tools like Informatica Talend or Azure Data Factory.
Evaluate and recommend new data technologies tools and frameworks.
Work within Azure cloud platforms to design and manage cloudbased data solutions. (e.g. Snowflake)
Architect data solutions within Azure cloud platform leveraging tools like Snowflake Databricks and Synapse.
Provide guidance and mentorship to data engineers.
Perform other duties as assigned.
QUALIFICATIONS
Minimum Qualifications:
Bachelors degree in Computer Science Data Science Information Technology or a related field.
Minimum ten years of recent experience in Data Analytics and Data Warehousing including cloudnative database and modern data warehouse design.
Proven experience as a Data Architect Data Engineer or a similar role.
Prior experience establishing data governance policies and standards
Strong business acumen and the ability to translate business requirements into technical designs.
Experience with data modeling data warehousing and big data technologies.
Proficiency in data integration tools and ELT frameworks (Informatica Talend etc..
Excellent problemsolving skills and the ability to work in a teamoriented environment.
Strong knowledge of database management systems (Oracle MS SQL Server preferred).
Experience in implementing a variety of data warehousing concepts methodologies and best practices (e.g. Incremental SCD Star Schema etc.
Preferred Qualifications:
Experience with data and analytics solutions in the supply chain food service or manufacturing industry.
Experience with AI/MLdriven data architectures.
Familiarity with cloudbased data solutions (Snowflake Cosmos DB etc..
Knowledge of DevOps practices and CI/CD pipelines for data solutions.
Handson experience with programming languages such as Python Java or Scala.
Physical demands and work environment
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
Work is usually performed in an office environment with normal noise levels.
Involves prolonged sitting and computer usage.
Position is headquartered in Pittsburgh Pennsylvania.
Disclaimer
This job description is not intended and should not be construed to be an exhaustive list of all responsibilities skills efforts or working conditions associated with the job. It is intended however to be an accurate reflection of those principal job elements essential for making decisions related to job performance employee development and compensation. As such the incumbent may perform other duties and responsibilities as required. Its contents imply no contractual obligation and may be changed by the company at any time.
Prepared: Version 1.1
Employment Type
Full-Time
