DATA ARCHITECT

Job Summary The Data Architect is tasked with designing, creating, deploying, and managing the data architecture of our company.
This encompasses shaping how we utilize data to gain competitive advantages, emphasizing the optimization of data flow and storage to align with our strategic initiatives.
This role involves collaborating with various stakeholders to understand their data requirements and translating them into scalable database solutions and data models.
Unlike the Data Business Analyst, who interprets data to derive actionable insights and support decision-making, the Data Architect focuses on the technical aspects of data management and architecture design.
Their responsibilities include ensuring data integrity, security, and scalability across systems, as well as implementing frameworks for data governance and compliance.
This distinction highlights the Data Architect's pivotal role in establishing the infrastructure that supports efficient data operations and strategic business objectives.
B.
Job Responsibilities Define vision, strategies, and principles for data management.
Design and implement effective database solutions and models to store and retrieve company data.
Examine and identify database structural necessities by evaluating client operations, applications, and programming.
Assess database implementation procedures to ensure they comply with internal and external regulations.
Install and organize information systems to guarantee company functionality.
Prepare accurate database design and architecture reports for management and executive teams.
Oversee the migration of data from legacy systems to new solutions.
Monitor the system performance by performing regular tests, troubleshooting, and integrating new features.
Evangelize data platform, standards, patterns and best practices across business partners.
1.
Job Knowledge and Skills.
Proven work experience as a Data Architect, Data Scientist, Data Analyst, or similar role.
In-depth understanding of database structure principles.
2.
Years of Experience.
3+ years of experience in data analysis or business analysis, preferably in the automotive or financial services industry.
3.
Education Bachelor’s or master’s degree in Computer Science, Data Management, Information Technology, or a related field.
4.
Specific Course/Certifications Experience with data modeling techniques and data mining.
Excellent knowledge of SQL, RDS and database systems (e.
., MySQL, Oracle, MS SQL Server, Snowflake, Amazon RDS, Informatica) Inglés TOEIC 700 pts.
Nissan (NMEX,NEdM, NRFS, NRFM and ANZEN)   hires   based   on   the   fulfillment   of   the   job   profile   in   the   vacancy,   without   distinction   or   discrimination   based   on   gender,   gender   identity   and/ or   expression, sexual   orientation,   race, color,   language,   religion,   political   or   any   other   opinion,   national   or   social   origin,   economic   position,   birth   or   any   other   condition.
By   applying   for   the   advertised   position, candidates   acknowledge   that   Nissan Mexicana and   its   subsidiaries reserve   the   right   to   conduct   a   public   conduct   search   due   to   the   sensitive   nature   of   the   assets   and   information   involved   in   the   role.
This   includes,   but   is   not   limited   to,   proprietary   information,   financial   data, and   other   assets   requiring   safeguarding.
Nissan Mexicana and   its   subsidiaries   assure   confidentiality   and   compliance   with   all   legal   requirements   regarding   the   use   of   such   information.
By   applying   for   this   position,   you   are   consenting   to   this   check.
Jesus Maria Aguascalientes México