Principal Data Architect

2 weeks ago

Dallas, United States CSM Technologies Inc Full time

Job Title - Principal Data Architect - Telecom (Google Cloud Platform)

Location: Dallas, TX

Job Type FTE

Experience - 15 (Min) - 17 (Max)

Responsibilities:

  • Lead the design and execution of a comprehensive data migration strategy for our telecom client, involving multiple source systems to Google Cloud Platform.
  • Deep dive into client requirements to understand their data needs and challenges. Proactively propose solutions that leverage Google Cloud Platform's capabilities or integrate with external tools for optimal results.
  • Spearhead solution calls with the client, translating complex data architecture and engineering concepts into clear, actionable plans for data engineers.
  • Build strong relationships with the client, acting as a trusted advisor and technical expert. Demonstrate flexibility and adaptability to accommodate evolving needs.
  • Develop a robust data model for the telecom client, ensuring data is organized, consistent, and readily available for analysis.
  • Leverage your expertise in Data, AI, and ML to create a future-proof blueprint for the client's data landscape, enabling advanced analytics and insights generation.

Qualifications:

  • Master s/bachelor s degree in computer science, business analytics, information technology, statistics, or a related field.
  • Minimum 10+ years of extensive experience as a Principal Data Architect or similar senior role.
  • Proven success in leading large-scale data migrations, particularly to Google Cloud Platform.
  • In-depth knowledge of data architecture principles and best practices.
  • Strong understanding of data modeling techniques and the ability to create efficient data models.
  • Experience working with Google Cloud Platform and its various data management services (e.g., BigQuery, Cloud Storage, Dataflow).
  • Ability to assess and recommend solutions that go beyond Google Cloud Platform when necessary, demonstrating a broader technology landscape awareness.
  • Excellent communication skills, both written and verbal, with the ability to explain technical concepts to a non-technical audience.
  • Customer-facing and relationship-building skills to foster strong collaboration with the telecom client.
  • Experience with at least one programming language commonly used in data processing (e.g., Python, Java).
  • A demonstrable understanding of Data Science, Artificial Intelligence, and Machine Learning concepts.

Additional points:

  • Experience working within the telecommunications industry.
  • Knowledge of data security and compliance regulations relevant to the telecom sector.
  • Experience leading and mentoring a team of data engineers.

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