Senior Data Platform Engineer (AI & Lakehouse)

Benefits

Parental leave

14 weeks From the posting source checked Jun 20, 2026

Non-birth-parent leave

14 weeks From the posting source checked Jun 20, 2026

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked May 7, 2026

Salary

Not verified

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Data Platform Engineer (AI & Lakehouse) CIUDAD DE MEXICO, CIUDAD DE MEXICO, Mexico, MX About the Role We are looking for a Senior Data Platform Engineer to help customers design and implement modern data platforms that enable scalable analytics and AI initiatives. This role is focused on building the data foundation behind AI solutions, including lakehouse architectures, data governance, data quality, data unification, and enterprise data modernization initiatives. The ideal candidate combines strong technical expertise with client-facing consulting skills, and has hands-on experience delivering real-world data platform or migration projects in complex enterprise environments. Key Responsibilities Design and implement modern data platform architectures, including data lakes and lakehouse environments. Lead technical discussions with customers to understand business and data challenges and translate them into scalable architecture solutions. Support enterprise data modernization and migration initiatives across cloud ecosystems. Define and implement data governance, data quality, metadata management, and data unification strategies. Collaborate with cross-functional teams including data engineers, architects, AI specialists, and business stakeholders. Serve as a trusted technical advisor for customers throughout the project lifecycle. Drive best practices around scalability, security, reliability, and performance of enterprise data platforms. Present technical solutions and architecture recommendations to both technical and business audiences. Contribute to AI-related initiatives by enabling high-quality and well-governed data foundations. Mentor junior engineers and promote knowledge sharing within the team. Preferred Background 5+ years of experience in Data Engineering, Data Architecture, or Data Platform roles. Proven experience delivering enterprise data platform, data lake, or lakehouse projects. Strong understanding

Read the full description at careers.oracle.com. FewerJobs shows a preview and links to the original posting.