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Senior Data Architect
4 weeks ago
Job Title: Senior Data Architect
Job Description:
Phoenix Pro Connect is representing a global company seeking a Senior Data Architect. This pivotal role involves designing, developing, and supporting the corporate master data program, focusing on operational, customer, revenue, and vendor data domains. The ideal candidate will bring extensive experience in data architecture, data governance, and data integrity within a large enterprise setting, with particular expertise in inventory management and data warehousing.
Key Responsibilities:
- Develop and implement the organization's data strategy, aligning with key business processes.
- Manage and improve master data management for operational efficiency and high-integrity reporting.
- Lead the design and implementation of data warehouses and data lakes, ensuring quality, consistency, and data security.
- Oversee data governance policies and ensure compliance with industry best practices.
- Collaborate with IT and business stakeholders to design technical solutions that align with business goals.
- Mentor junior data architects and data engineers, fostering a strong team environment.
- Manage and prioritize data architecture projects to stay within budget and timelines.
Requirements:
- 8-10 years of experience in data architecture or a related field (data engineering, data warehousing).
- Proven ability to design and implement enterprise-scale data solutions.
- Experience in a retail industry environment with a focus on inventory management.
- Leadership experience managing and mentoring data teams.
- Expertise in data modeling techniques (both logical and physical), and proficiency with SQL and NoSQL databases.
- Experience with cloud platforms (AWS, Azure, GCP), and big data technologies like Hadoop and Spark.
- Proficiency in data integration and ETL/ELT tools, such as AWS Glue.
- Strong understanding of data governance and data security frameworks.
- Proficiency in analytics tools such as Tableau or Power BI.
- Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.
- Strong problem-solving skills with the ability to troubleshoot and resolve data challenges.