Spin Careers

IC5-DataArchitect

NETPAY S.A.P.I DE C.V
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“IC5 - Data Architect at Spin Careers. Skills: Data Architecture, Data Engineering, AI Systems Architecture, Cloud Platforms. Create data schemas. Enforce data schemas”

Industry & Context.

Problems you'll solve

Problem-solving; Proactive problem-solving; Elite analytical skills

What They're Looking For.

Must Have

7+ years of proven experience in Data Architecture, Enterprise Data Engineering, AI Systems Architecture, Master-level proficiency in relational/non-relational database design, advanced SQL, complex DTL/ETL architectural patterns, data mesh concepts, RDBMS performance tuning, query optimization, indexing strategies, database migration, hyper-scale data systems, multi-cloud or deep single-cloud setups, distributed computing technologies, architecting data pipelines and infrastructure specifically tailored for machine learning, LLMs, AI-driven applications, Strategic Influence, Problem Solving, Communication

Nice to Have

Enterprise Architecture certifications, TOGAF, Professional/Expert-level cloud certifications, AWS Certified Data Engineer, Databricks Solutions Architect, Deep knowledge of international compliance standards, GDPR, CCPA, data privacy architecture, Bilingual / Advanced English

What You'll Do.

Design new database columns

Design complex queries

Spearhead conceptualization

Technical proof-of-concepts

Design large-scale data systems

Design cloud-native data lakes

Design mesh architectures

Design advanced ETL/DTL pipelines

Design real-time streaming engines

Define strategy for monitoring

Define strategy for auditing

Define strategy for optimizing hyper-scale data systems

Partner with executive stakeholders

Partner with product leaders

Partner with engineering directors

Translate business needs

Design high-availability data replication strategies

Oversee advanced operational DBA tasks

Cultivate high-trust work environment

Scale high-trust work environment

Promote extreme ownership

Promote proactive problem-solving

Promote continuous technical improvement

Foster diverse technical community

Foster inclusive technical community

Foster dynamic technical community

Align engineering practices

How You'll Work.

Team & Collaboration

Partner closely with executive stakeholders; Partner with product leaders; Partner with engineering directors; Collaborate with technical teams; Collaborate with non-technical executives

Communication Scope

Exceptional ability to influence; Outstanding communication; Presentation abilities; Collaboration abilities

Full Job Description

Objective of the Role: As a Technical Data Architect (IC5), you will be the visionary and strategic leader shaping our global data and AI architecture strategy. You will define the technical direction for the organization's data ecosystem, ensuring it scales to meet long-term business goals. Operating in a highly autonomous environment, you will champion technical excellence, innovation, and total ownership, balancing strategic vision with a hands-on approach to problem-solving. Additionally, you will act as a key Spin Culture Ambassador, driving institutional values, fostering a collaborative, elite engineering culture, and mentoring the next generation of technical leaders. Main Responsibilities: Strategic creating, enforcing, and reviewing data schemas, new database columns, tables, and complex queries to guarantee maximum optimization, indexing efficiency, and performance. Solution Engineering & Performance Optimization Next-Gen Solution Design: Next-Gen Solution Design: Spearhead the conceptualization, architectural design, and technical proof-of-concepts (PoC) of complex, large-scale data systems, including cloud-native data lakes, mesh architectures, advanced ETL/DTL pipelines, and real-time streaming engines. Extreme Performance & Scalability: Define the strategy for monitoring, auditing, and optimizing hyper-scale data systems for maximum performance, reliability, and cost-efficiency. Cross-Functional Collaboration: Partner closely with executive stakeholders, product leaders, and engineering directors to translate complex business needs into robust, scalable technical architectures. Database Administration (DBA) & High-Availability Replication: Design, direct, and execute high-availability data replication strategies between heterogeneous database engines (e.g., Oracle to cloud-native systems like Amazon Aurora), while overseeing advanced operational DBA and tuning tasks. Culture & Organizational Excellence Autonomous Culture Champion: Cultivate and scale

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