Senior Data & Security Architect
- Lead the design and development of enterprise data architecture, integrating Cloud Data Lake capabilities with existing Data Warehouse systems
- Create and maintain reference architectures, data models, and design patterns for structured and unstructured data
- Evaluate and implement new data management technologies to support analytics, AI, and business intelligence
- Collaborate with cross-functional teams to align data architecture with IT and business strategies
- Develop and enforce data governance frameworks, standards, and policies
- Establish governance committees and coordinate with business units to promote data stewardship
- Maintain enterprise data catalogs and metadata management systems
- Define and monitor data quality KPIs and oversee remediation efforts
- Experience with implementing data governance (data catalogs, business workflows, establishing stewardship processes, etc.) with technologies/tools like Alex, Collibra, etc.
- Design and implement actions that should protect the integrity, confidentiality and availability of the organization's data
- Develop and enforce Data Loss Prevention policies for sensitive data across both structured and unstructured datasets
- Identify and classify confidential information throughout the organization
- Configure and manage DLP tools to monitor data flows, generate alerts, and support detailed reporting
- Promptly investigate and respond to DLP incidents, including breach determination, containment, and stakeholder notification
- Work in close coordination with the Cybersecurity team to align DLP and data security controls with broader enterprise security policies, incident response protocols, and regulatory compliance requirements
- Review and enhance existing data monitoring & usage capabilities and identify opportunities to strengthen the overall Security standards
- Identify opportunities for automation and continuous improvements
- Implement AI native security across Azure, SaaS and AI environments using tools like Cyera
- Implement and oversee data security posture management practices across cloud and on-premises environments.
- Enforce access controls, encryption protocols, audit trails, and other data protection mechanisms.
- Collaborate in tandem with the Cybersecurity team to integrate DSPM strategies with enterprise-wide security frameworks.
- Stay current with emerging DSPM tools and cloud security best practices, including Cloud Security Posture Management (CSPM), Cloud Access Security Broker (CASB) solutions, and other advanced technologies
- Contribute to the development of the overall data strategy and roadmap
- Mentor and guide other data architects and analysts
- Foster a culture that values data integrity, security, and utilization
- Communicate complex data concepts to business and technical stakeholders
- Responsible for cultivating relationships with peer Data Management groups, Enterprise Architects, Data Architects, Security Architects and Enterprise Governance teams to ensure alignment, compliance and long-term sustainability of our digital assets
- Actively participate in and support the team's Agile quarterly planning processes
- Consulting and/or participation in risk review process and Architecture Review board to ensure the security, DLP, DPSM tools/capabilities align with the organization's standards
- Responsible for creating enterprise blueprints that tie together our business processes and workflows to strengthen our overall Data Governance, DLP & Security standards and DPSM strategies while promoting innovation across the Data & AI landscape
- Incorporate the latest AI capabilities to seamlessly complement above-mentioned categories/responsibilities to drive business results and innovation to propel organization's Data and Digital strategies
- Stay current with the latest trends, technologies, and best practices in the AI stack - management, governance, and architecture
- Accountability & Integrity: Takes ownership of actions, follows through on commitments, and stands up for what is right
- Results Orientation: Delivers positive outcomes through realistic planning and goal setting
- Decision-Making: Builds effective solutions using available information and makes timely, ethical decisions
- Legally authorized to work in the United States
- Bachelor's degree or higher in Computer Science, Engineering, Geoscience, Information Technology, Information Systems, related field or foreign equivalent
- 7 or more years of hands-on experience in data architecture, data management and data governance
- 3 or more years of experience in data security and IT risk management
- 3 or more years of experience implementing DLP solutions and data classification
- 1 or more years of experience with implementation of GenAI based solutions (Agentic workflows)
- 1 or more years of experience of using the AI Assistants (like Microsoft copilot cowork, Anthropic claude code, Snowflake CoCo) for product/solution development frameworks
- 1 or more years of experience with security certifications (e.g., CISSP, CISM, GIAC, CCSP, CISA)
- Intermediate level of knowledge with cloud security principles and tools (e.g., CSPM, CASB, encryption, audit logging)
- Beginner level of knowledge or experience with leveraging AI capabilities for data governance, security and data security posture management
- 5 or more years of Energy industry experience or equivalent large-scale industrial data environments
- 5 or more years of hands-on experience with Cloud data platforms (Azure, Snowflake, Databricks, etc.)
- Expert level of SQL skills and experience with data modeling, ETL/ELT, and data warehousing
- Experience and proficiency with big data technologies like Spark, Kafka, NoSQL, etc.
- Experience with Spark and any of the following programming languages: Python, Scala, Java, etc.
- Work across structured, semi-structured, and unstructured data, with strong technical experience in large distributed systems, data warehousing and data lakes at scale
- Deep subject matter expertise and hands on experience in designing, scaling and implementing data lake platforms
- DevOps proficiency, including Agile development process, containers, and source code control systems
- Strong leadership, communication and stakeholder engagement skills
- Proven ability to drive data strategies and governance adoption across organizations
- Proficiency in scripting languages like Python, Java, Scala, etc.
- Comprehensive knowledge of Data Management principles, processes and data lifecycle management
- Understanding of Data Science and related technologies
- Demonstrated leadership and soft skills, with ability to engage at all levels of the organization
- Good Knowledge of well data lifecycles from exploration through to development, drilling and completion, production and eventual abandonment or relinquishment
- Ability to lead initiatives, multi-disciplinary project teams, and influence stakeholder buy-in
- Participate in strategy and planning sessions and be recognized as a valued team member who consistently delivers meaningful contributions
- Excellent oral and written communication skills, with the ability to clearly articulate technical concepts to all the stakeholders
- Taking Care of Your Health & Wellness : Medical, dental, vision, mental health support, and wellness programs.
- Supporting and Building Financial Security : Competitive base pay, annual performance bonuses, and retirement savings plans.
- Promoting Work-Life Balance : Paid time off, paid parental leave, and family support resources.
- Offering Career Development : Access to training, mentoring, and internal career mobility tools.
- Guiding Recognition & Inclusion : Peer-nominated awards, inclusive culture, and employee resource groups.
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