Senior Data Engineer at Independence Pet Holdings shaping data ecosystem by building platforms and pipelines. Collaborating with teams to enhance data analytics and operational insights.
About the role
- Principal Software Engineer shaping and evolving Mastercard’s global enterprise data architecture. Leading modernization of data platforms across hybrid cloud and on-premises environments.
Responsibilities
- Serve as the foundational technical leader for enterprise data architecture, partnering closely with the SVP and senior technology leadership.
- Act as a trusted advisor to C suite and executive stakeholders, translating business strategy into scalable data architecture decisions.
- Define and evolve the global data architecture roadmap across hybrid (cloud + on prem) environments.
- Architect secure, resilient solutions that meet global regulatory and compliance mandates, including GDPR, ISO 20022, and regional data localization requirements.
- Champion Data Mesh principles, treating data as a product with federated ownership, governance, and self service enablement.
- Establish organization wide architecture standards and development best practices through the Data & Analytics Architecture Review Board.
- Lead the modernization of legacy data platforms to cloud native architectures across AWS, Azure, and GCP.
- Drive adoption of modern data technologies, including Databricks, Snowflake, Delta Lake, and streaming platforms.
- Enable both real time and batch analytics use cases to support high availability, mission critical workloads.
- Mentor and influence global engineering teams, fostering a culture of technical excellence, accountability, and thoughtful risk taking.
Requirements
- Proven experience operating as a Principal Engineer or equivalent, leading enterprise scale data architecture or platform strategy.
- Deep expertise designing, building, and operating distributed data systems at global scale.
- Hands on experience with technologies such as Apache Spark, Kafka, Flink, and NiFi.
- Demonstrated success modernizing data platforms using cloud native architectures across AWS, Azure, and/or GCP.
- Experience integrating AI driven capabilities into data platforms, with appropriate governance and guardrails for emerging use cases, including agentic commerce.
- Strong understanding of data governance, security, and regulatory compliance in highly regulated, global environments.
- Proven ability to lead and influence architectural initiatives within Agile, SAFe, or product centric delivery models, partnering effectively with product, engineering, and business stakeholders.
- Demonstrated ability to influence technical and business decisions at all levels, including C-suite stakeholders.
- Strong executive presence with the ability to translate complex architecture concepts into business language.
- Exceptional communication skills, with the ability to articulate complex technical concepts to executive and non technical audiences.
- Strong Decency Quotient (DQ) with a track record of building inclusive, collaborative, high performing teams.
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent practical experience.
Benefits
- insurance (including medical, prescription drug, dental, vision, disability, life insurance)
- flexible spending account and health savings account
- paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave)
- 80 hours of Paid Sick and Safe Time
- 25 days of vacation time and 5 personal days, pro-rated based on date of hire
- 10 annual paid U.S. observed holidays
- 401k with a best-in-class company match
- deferred compensation for eligible roles
- fitness reimbursement or on-site fitness facilities
- eligibility for tuition reimbursement
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