Senior Data Architect

PhoenixProConnect, LLC
FL, United States
Full-time

You must live in close proximity to the office - Hybrid work environment - South Florida -

Job Description :

Phoenix Pro Connect is representing a global company that is currently seeking a Senior Data Architect . This role is pivotal in designing, developing, and supporting the corporate master data program, with a focus 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 .

This is a hybrid role based in Fort Lauderdale, FL .

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.

Skills and Qualifications :

  • 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.
  • 6 hours ago
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