Cloud Data Architect

Conoco Phillips

Welcome to ConocoPhillips, where innovation and excellence create a platform for opportunity and growth. Come realize your full potential here.

Who We Are

We are one of the world’s largest independent exploration and production companies, based on proved reserves and production of liquids and natural gas. With operations and activities in 13 countries, we explore for, develop, and produce crude oil and natural gas globally. We are challenged with an important job to safely find and deliver energy to the world. Our employees are critical to our success, and with them we power civilization.

We’re grounded by our SPIRIT Values – safety, people, integrity, responsibility, innovation, and teamwork. These values position us to deliver strong performance in a dynamic business – but not at all costs. We believe it’s not just what we do – it’s how we do it – that sets us apart.

We strive to make a significant difference in the communities where we live and operate. We create an inclusive environment that values all voices and opinions. Together, the different backgrounds, experiences, ideas, and perspectives of our employees drive our success.

Job Summary


We are seeking a highly skilled and experienced Cloud Data Architect to join our team. Reporting to the Director of Data Management and Architecture, this role will be responsible for leading the design and development of data as a product for a variety of use cases, in line with the company’s data strategy.

The primary objective of the role is to bring together foundational components of data ecosystems to provide solutions that improve the architecture, quality and fidelity of the data consumed by business processes and analytics use cases. This role will be instrumental in enhancing our current data capabilities, including the seamless integration of Data Lake functionality to complement our existing Data Warehouse.

The Cloud Data Architect will also lead strategic aspects of the data strategy and be responsible for the operational aspects of data management, especially regarding product development and decision-making.

The Cloud Data Architect will be part of a team of data architects, responsible for implementing data projects while ensuring a high level of data quality based on corporate and industry standards. The team will also be responsible for developing and enforcing standards for data management and implementing data technology solutions for structured and unstructured datasets as well as data catalogs and data lineage to enhance visibility and access to data.

As our organization is implementing a data modernization program along with data and digital strategies, the Cloud Data Architect will play a key role in providing input and influence in our journey towards a strategic data organization. This role also requires a strong and current technology focus, hands-on practical design & architecture experience, experience with integration and implementation digital/ cloud technology and excellent written and communications skills.

Job Description

Your responsibilities may include:

  • Responsible for evaluating new Data Management capabilities and technologies to drive business results and innovation to propel organization’s Data and Digital strategies
  • Accountable for building an integrated data foundation that connects cross-functional data across the lifecycles of our assets to provide a 360-degree view of data to deliver insights and predictions
  • Responsible for conducting a comprehensive evaluation of the current data landscape to identify potential gaps in data management capabilities and formulate a roadmap for enhancement
  • Accountable for the operationalization of new Data Management capabilities and tools and ensuring seamless integration with existing systems and processes (e.g. security, scalability, performance, reliability, FinOps, recovery etc.)
  • Responsible for creating enterprise blueprint that tie together our business processes and workflows with data in a cohesive way that strengthens our capabilities, accelerates delivery, and promotes innovation
  • Develop and evaluate design options to ingest and catalogue real-time, structured, and unstructured data sets into Data Management environment per business priorities and use cases
  • Provide input and influence teams focused on the data modernization and next generation data capabilities
  • Cultivates relationships with peer Data Management groups and Enterprise Architects to ensure alignment, compliance and long term sustainability of our digital assets
  • Build and maintain reference architecture, design patterns, decision matrices, common Information model and frameworks that drive operational efficiencies
  • Organize and facilitate governance meetings to identify cross-business-unit synergies and assess potential risks
  • Participates in risk review process and Architecture Review board to ensure data projects align with the organization’s risk management and architecture standards
  • Ensure consistency of data systems, tools, and architectural best practices across the organization, driving adoption across our teams and systems
  • Proactively identify opportunities for automation and continuous improvements
  • Stays current with the latest trends, technologies, and best practices in data management, governance, and architecture
  • Participate and support Agile quarterly planning for the team
  • Establish Data Lake capability to seamlessly complement the Data Warehouse, forming a unified and holistic platform to meet all data requirements
  • Collaborate with cross-functional teams to ensure alignment between data architecture and overall IT and business strategies
  • Ensure consistency of data systems, tools, and architectural best practices across the organization, driving adoption across our teams and systems
  • Responsible for creating enterprise blueprint that tie together our business processes and workflows with data in a cohesive way that strengthens our capabilities, accelerates delivery, and promotes innovation
  • Expertise in optimizing queries and performance by establishing standards to minimize system workload and costs


  • Bachelor’s degree or higher in Computer Science, Engineering, Geoscience, Information Technology, Information Systems, related field, or foreign equivalent
  • 10 or more years of experience implementing and supporting complex Data Management initiatives including Datalake and traditional Data Warehousing
  • 7 or more years of experience with Cloud Platforms and Data Lake implementation to enable Data Science and Analytics capability
  • 7 or more years of experience in data architecture, and data management in an enterprise environment
  • 5 or more years of experience with database platforms such as Snowflake or Teradata with demonstrated strength in SQL, data modeling, ETL development, and data warehousing
  • 5 or more years of experience of modern cloud-based data platform technologies e.g., Snowflake, ADLS, Data Bricks


  • Legally authorized to work in the United States on a full-time basis for anyone other than current employer
  • 5 or more years of Energy industry experience
  • 1 or more years of experience in designing, scaling and implementing data lake platform
  • 1 or more years of experience with Spark and any of the following programming languages: Python, Scala, Java etc
  • 1 or more years of experience designing and implementing data ingestion techniques for real-time and batch processes into cloud based platforms
  • 1 or more years of Delta Lake experience with query optimization
  • Advanced knowledge of well data lifecycle from exploration through to development, drilling and completion, production and eventual abandonment or relinquishment
  • Advanced knowledge of Data Management principles, processes and data lifecycle
  • Advanced knowledge of master data management, real-time streaming data and cloud technologies
  • Advanced level of proficiency in DevOps, including Agile development process, containers, and source code control systems
  • Intermediate proficiency in Data Management tools – SQL, SDE, JSON, XML, scripting languages such as Python Big Data technology stack including NoSQL, Spark, Hive, Kafka, StreamSets, IICS, ADF etc.
  • Work across structured, semi-structured, and unstructured data, with strong technical experience in large distributed systems, data warehousing, data lake at scale
  • Understanding of Data Science and related technologies
  • Ability to take ownership, engage, lead change, achieve results, adapt, problem solve, manage risk and drive tasks to completion
  • Ability to lead initiatives, multi-disciplinary project teams, and influence stakeholder buy-in
  • Participate in strategy and planning sessions and be recognized as a capable team member that delivers value
  • Demonstrated ability to deal with ambiguity and maintain effective performance under stressful and uncertain conditions
  • Excellent oral and written communication skills; proven ability to represent point of view and discuss technical information with the business users in business language
  • Team player, and self-driven individual who can multi-task, work independently under minimal supervision and deliver on commitments
  • Excellent analytical mind and proven problem-solving skills
  • Demonstrated leadership and peoples skills, with ability to engage at all levels of the organization
  • Confident in engaging all levels of the organization in communicating a data strategy
  • Ability to influence others and drive change around data standards and best practices
  • Delivers positive results through realistic planning to accomplish goals
  • Builds effective solutions based on available information and makes timely decisions that are safe and ethical
  • Builds positive relationships based on trust and seeks collaboration across organizational boundaries to achieve goals

Apply Before: May 14, 2024


ConocoPhillips’ sponsorship for employment authorization in the U.S. is available for this position.


In the US, ConocoPhillips is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, gender identity or expression, genetic information, or any other legally protected status.

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