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Data Architect

Paramount Pictures

New York (NY)

Remote

USD 100,000 - 160,000

Full time

30+ days ago

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Job summary

An innovative firm is seeking a skilled Data Architect to enhance its data landscape and architecture. This fully remote position involves collaborating with cross-functional teams to design and implement robust data solutions that support business objectives. The ideal candidate will have extensive experience in data architecture, cloud technologies, and data governance. Join a dynamic team where your expertise will directly impact the way millions enjoy content worldwide. If you are passionate about data and eager to drive innovation in a collaborative environment, this opportunity is perfect for you.

Qualifications

  • 7+ years of experience as a Data Professional, with at least 3 years in an enterprise data architect role.
  • Extensive experience with cloud platforms, preferably GCP and Oracle Cloud Infrastructure.

Responsibilities

  • Define and maintain the overall architecture of Paramount's data ecosystem.
  • Develop ETL/ELT processes to ingest and transform data for the data warehouse.

Skills

Data Architecture
ETL Processes
Cloud Technologies
Data Governance
Data Modeling
SQL
Python
Collaboration Skills
Communication Skills

Education

Bachelor's Degree in Computer Science or Engineering

Tools

Apache Airflow
Google Big Query
Tableau
Power BI
Docker
Kubernetes

Job description

New York, NY, US, 10036

Research

New York

Full-Time

Fully Remote

Overview and Summary:

Paramount Data Technology Solutions (DTS) team plays a crucial role in Paramount's global engineering organization. Through our projects, we ensure that millions of users worldwide can enjoy Paramount content through web, mobile, and TV applications and help with our vision of entertaining the planet!

We are seeking a highly skilled and experienced Data Architect to play a meaningful role in the design, development, and evolution of our data landscape. This individual will be a key contributor to the evolution of our data architecture, bridging the gap between engineering and business needs.

This collaborative role requires strong technical expertise, a deep understanding of data warehousing, ETL processes, and cloud technologies, and a dedication to working optimally within a multi-functional team. This role will be responsible for both low-level and high-level architecture design tasks and documentation.

Responsibilities Include:
  • Define, document, and maintain the overall architecture of Paramount's data ecosystem, including data models, data flows, and data governance policies.
  • Collaborate closely with partners across the organization to ensure alignment on architecture decisions.
  • Develop and maintain logical data models that accurately represent the company's data assets. Work closely with data analysts and scientists to understand their data needs.
  • Design and implement data governance frameworks and standards. Partner with IT and legal teams to ensure compliance.
  • Conduct regular reviews and assessments of the current data architecture, identifying areas for improvement and optimization. Present findings and recommendations to senior leadership.
  • Build and maintain comprehensive documentation for all data assets and processes. Ensure documentation is accessible and understandable to a broad audience.
  • Develop ETL/ELT processes/frameworks to ingest, transform, and load data from various sources into our data warehouse. Work with data engineers and other teams to define the foundational frameworks.
  • Optimize the performance of data pipelines and infrastructure in collaboration with DevOps teams.
  • Participate in the evaluation and selection of new technologies and tools. Share your expertise with the team to inform technology decisions.
  • Evaluate and recommend cloud migration strategies. Work with cloud architects and infrastructure teams to develop a comprehensive migration plan.
  • Lead and participate in the migration of data and applications from one cloud environment to another. Collaborate with multiple teams to ensure a smooth and efficient migration.
  • Explore and implement innovative technologies and solutions to improve the capabilities of our data platform. Share knowledge and insights with the team to promote innovation.
Basic Qualifications:
  • Bachelor's Degree in Computer Science, Engineering, or a related field with 7+ years of professional experience as a Data Professional, with at least 3 years in an enterprise data architect role.
  • Extensive experience with cloud platforms, preferably GCP and including Oracle Cloud Infrastructure, along with experience migrating between cloud platforms.
  • Expertise in designing and implementing data pipelines using tools such as Apache Airflow, Google Big Query, Python, and Kubernetes. Solid understanding of data warehousing concepts and methodologies.
Additional Qualifications:
  • Proficiency in SQL and at least one scripting language (e.g., Python, Scala).
  • Experience with data modeling techniques (e.g., dimensional modeling, snowflake schema).
  • Strong database fundamentals and enterprise data modeling experience is required.
  • Superb communication, collaboration, and presentation skills.
  • Experience with data governance and compliance regulations.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Experience with containerization technologies (e.g., Docker, Kubernetes).
  • Experience working in a large, complex enterprise environment.
  • Experience with evaluating and migration of data clouds between different clouds.
  • Ability to evaluate new and emerging technologies for use in an enterprise setting.


Paramount is an equal opportunity employer (EOE) including disability/vet.

At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources, and rewards should be available to and for the benefit of all.

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