VP of Data & Analytics

Role : Data Architect -Telecom Domain

Location: St. Louis MO (4 days onsite)

Position Type : Contract

JOB DESCRIPTION

We are seeking an experienced Data Architect with over 10 years of expertise in data modeling, analytics, and development. The ideal candidate will have deep proficiency in Erwin, PL/SQL, Oracle, and Python, with a strong preference for candidates with telecom domain experience. This is a hands-on role involving designing, managing, and optimizing data architecture to support business objectives. This in-person role is based in St. Louis, requiring 4 days in the office. The position is a long-term contract with potential for extension based on performance.

This role offers an exciting opportunity to shape the organization's data strategy while working in a dynamic environment.

Key Responsibilities

• Design and implement scalable data models using Erwin to meet business requirements.
• Develop and optimize complex PL/SQL scripts and Oracle-based solutions.
• Collaborate with stakeholders to translate business needs into effective data architectures.
• Lead the development of data pipelines, integration, and migration strategies.
• Ensure data quality, security, and compliance with industry standards.
• Analyze large datasets to derive actionable insights and support decision-making.
• Provide technical leadership in adopting best practices for data architecture in the telecom domain.
• This is a hands-on role requiring active participation in data modeling, coding, and troubleshooting.

Required Skills & Qualifications

• 10+ years of experience in data architecture, modeling, and analytics.
• Proficiency in Erwin, PL/SQL, Oracle, and Python.
• Strong analytical skills for deriving insights from complex datasets.
• Expertise in database design, ETL processes, and performance optimization.
• Familiarity with telecom-specific data systems is highly preferred.
• Excellent communication skills to collaborate with cross-functional teams.

Preferred Qualifications

• Experience with cloud platforms (AWS, Azure, or Google Cloud).
• Knowledge of big data technologies and tools like Hadoop or Spark.
• Telecom domain certifications or relevant project experience.

Best Regards,

Bismillah Arzoo (AB)