
Building Effective Enterprise Data Architectures
2 days ago
Job Title: Enterprise Data Architect
We are seeking an experienced Enterprise Data Architect to join our team. As a key member of our data organization, you will play a critical role in designing and implementing our enterprise data architecture.
The ideal candidate will have a strong understanding of data modeling concepts, including conceptual, logical, and physical data models. You will work closely with cross-functional teams to ensure that our data architecture aligns with business requirements and supports the development of high-quality software applications.
The successful candidate will have a minimum of 12 years of related experience and a bachelor's degree in computer or software engineering, or equivalent. You will also have excellent communication and interpersonal skills, as well as the ability to explain complex technical concepts to non-technical stakeholders.
Responsibilities:
- Design and implement enterprise data architectures that meet business requirements.
- Develop and maintain data models, including conceptual, logical, and physical data models.
- Work closely with cross-functional teams to ensure alignment with business requirements.
- Collaborate with data engineers to design and implement data pipelines.
- Ensure data quality and integrity through testing and validation.
- Stay up-to-date with industry trends and emerging technologies.
- Participate in code reviews and provide feedback to improve code quality.
Requirements:
- Typically requires a minimum of 12 years of related experience with a Bachelor's degree in Computer or Software Engineering; or 10 years and a Master degree in Computer or Software Engineering;
- Demonstrated strength in examining issues, driving resolution & influencing effectively across the organization. Ability to challenge the status quo in technology & architecture.
- Superb interpersonal & communication skills (oral and written), including the ability to explain digital concepts and technologies to business leaders, as well as business concepts to technologists.
- 3+ years leading data engineering teams in Consumer/Healthcare Goods companies and excellent understanding of business domains within the industry.
- 5-8 years of progressive experience with Data Modeling.
- Minimum of 3 years hands-on experience in Cloud Architecture (Azure, GCP, AWS) & cloud-based databases (Synapse, Databricks, Snowflake, Redshift) and various data integration techniques (API, stream, file) using DBT, SQL/PySpark, Python.
- Should have experience in ER Studio/Erwin data Modeler, Power BI/Tableau or Microstrategy or equivalent tool.
- Should be strong in Data warehousing concepts.
- Should have strong database development skills like complex SQL queries, complex store procedures.
Desired Qualifications:
- Conversant with Data & Analytics product management, Azure, SQL, Data Catalog.
- Experience with unstructured data processing and real-time data pipelines.
- Preferably from Retail or CPG industry.
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