Data Architect

Job not on LinkedIn

🔥 8 minutes ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 15%

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Logo of SDKIntel

SDKIntel

2 - 10 employees

Founded 2021

🔐 Security

☁️ SaaS

🤝 B2B

Security • SaaS • B2B

SDKIntel is a small, focused team that provides deep mobile SDK intelligence for iOS and Android apps, concentrating on verticals such as EU fintech and banking. They decrypt and analyze app binaries (including tamper-hardened iOS binaries) to map third-party SDKs inside apps, producing confidence-scored detections and structured intelligence briefs (JSON, XLSX, PDF) and data feeds. Their customers include SDK vendors, security & compliance teams, and M&A/investment teams; offerings include bespoke vertical briefs, movement tracking, switch-target lists, competitor footprint maps, and analyst walkthroughs. Their methodology emphasizes binary-level analysis, strict confidence criteria, and vertical-scoped reports delivered on a cadence.

📋 Description

• Define and implement the organization’s enterprise data architecture, including data models, pipelines, and platform strategy • Lead integrations between internal platforms such as Salesforce and CX platforms and third-party systems • Establish and enforce standards for data quality, metadata management, lineage, and classification • Partner with engineering, security, and compliance teams on privacy, retention, and access control policies • Support compliance with SOC 2, HIPAA, GDPR, and PCI DSS • Lead data risk reviews, support vendor onboarding, and ensure technical audit readiness • Manage and mentor data engineers, analysts, and specialists • Lead recruitment, onboarding, performance management, and professional development • Drive adoption of data best practices and promote a data-driven culture • Provide thought leadership on modern data stacks, cloud data architecture, and advanced analytics • Lead selection, implementation, and ongoing management of enterprise data platforms • Evaluate and implement ELT tools, DBT, Kafka, and cloud-native services • Support enterprise analytics, AI/ML use cases, and enterprise-wide data warehousing initiatives • Report directly to the Director, Enterprise Applications & Data • Initially manage one direct report, with potential team expansion

🎯 Requirements

• Bachelor’s degree in Cybersecurity, Computer Science, Information Systems, or related field (or equivalent years’ experience) • 8+ years of progressive experience in data architecture, data engineering, or enterprise data management • Strong experience with cloud platforms (AWS, Azure, or GCP) • Experience with modern data stacks, including ELT tools, DBT, Kafka, Snowflake, BigQuery, or Redshift • Experience managing cross-functional data teams • Strong understanding of data modeling (OLTP/OLAP), APIs, and system integration • Familiarity with SOC 2, HIPAA, GDPR, and PCI DSS • Experience with AI/ML, predictive analytics, or advanced data science applications • Excellent communication and stakeholder management skills • Ability to work independently and meet deadlines • Ability to work regular business hours with a flexible schedule • Ability to travel 10% as needed • Professional certifications such as CDMP, AWS Certified Data Analytics Specialty, or TOGAF preferred • Master’s degree preferred

🏖️ Benefits

• Remote work in Mexico • Flexible work schedule • Professional development • Travel opportunities (10% as needed)

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