Role: solutions architect apply by whats app: requirements & job offer: education: computer engineer or related languages: proficiency in english (c1 or c2) modality: home office 100 % workday: monday to friday location: mexico gross salary: until $110,000 mxn (according to experience) hiring: 100 % payroll benefits: social insurance (imss), 12 vacation days per year, 15 days of christmas bonus, 25 % vacation bonus, life insurance.
plus benefits: online technical trainings and access to academies and certifications.
job stability and professional development requirements: develop data & analytics solutions for complex business, technical, and analytical problems, including medallion data architecture, dimensional modeling, and advanced analytics (ai/ml).
experience in near real-time, streaming, and batch data ingestion and transformation pipelines (elt), enterprise data warehouses (edw), and bi semantic layer design.
broad experience in data engineering with sql and python, dataops/ci-cd practices, and cloud platforms (preference: microsoft azure, snowflake, databricks).
hands-on experience with extract, load, transform technologies (e.g., fivetran, cdata, dbt, coalesce), master data management (e.g., boomi mdh), bi/reporting (e.g., power bi), ai/ml (e.g., datarobot), and enterprise data catalog/governance.
minimum 12 years overall data & analytics experience, including: minimum 5 years in technical/solution architecture and dimensional data modeling.
minimum 7 years in data management, big data, master data governance, and analytics solution design, development, and implementation (azure data lake, azure data factory, snowflake, ssis, ssrs, power bi).
minimum 2 years in application architecture and development (preferred).
hands-on expertise in writing and optimizing sql and strong proficiency in python.
strong understanding of ai/ml architecture, design patterns, and mlops (preferred).
experience executing data & analytics delivery lifecycle using methodologies such as waterfall, agile, dataops, devops.
knowledge of enterprise architecture, data modeling tools (e.g., orbus, er/studio), and identity & access management protocols (ad, adfs, ldap, openid, oauth, saml) including rbac implementation.
experience designing, implementing, and deploying cloud-based solutions, preferably on azure, snowflake, and power bi.
strong understanding of networking concepts (vnets, subnets, nsgs, firewall, load balancers).
solid experience with performance management, monitoring, logging, error-handling frameworks, and diagnostics/rca.
proficient in microsoft azure services (kubernetes, ci/cd, devops, app services, functions, storage, sql database, virtual machines, cli, powershell, key vault, power automate).
responsibilities: design architecture, technical solutions, blueprints, and roadmaps for on-premises and cloud technologies (azure data lake, azure data factory, ssis, ssrs, power bi, snowflake, etc.).
integrate data (batch and near real-time) with salesforce, boomi, outsystems, erp, bpm, azure rpa, .
net custom applications, and other systems.
assess business initiatives, understand processes, and determine technical solution options aligned with objectives.
collaborate with enterprise architecture to ensure solutions align with overall enterprise direction.
establish best practices for design, build, and support of applications.
mentor and coach teams in architecture, solution design, and development practices.
ensure solution designs address data privacy (pii, gdpr), governance, reliability, scalability, and security.
standardize technical patterns, tools, and practices across software engineering teams.
create and review architecture, solution design, and integration documents for delivery teams and architecture review board.
introduce modern concepts (e.g., data product thinking) and drive agile data delivery processes.
build prototypes and assist engineers with coding/troubleshooting for on-premises and cloud-based applications.
identify best practices in cloud and api-led designs, microservices, ci/cd, automated testing, scm/release strategies, and operational support.
optimize cloud costs, implement monitoring/alerting, and contribute code as needed.
recommend business and architectural processes to optimize technical solutions.
perform other duties as assigned.
soft skills excellent communication skills ability to translate business needs into technical solutions influencing stakeholders from engineers to c-level executives strong collaboration problem-solving initiative ability to work with limited supervision