Role Description We are looking for a Technical Lead to guide a migration from an on-premises Oracle and Boomi environment to Azure SQL and Azure Data Factory. This role will provide technical leadership across both the database and ETL workstreams, support architecture and design decisions, provide hands-on technical guidance when needed, and ensure the team remains aligned with the project timeline, scope, and deliverables. The Technical Lead will also serve as the primary point of contact with the client for day-to-day technical coordination, helping translate client requirements into actionable work for the development team while keeping stakeholders informed of progress, risks, dependencies, and decisions. Qualifications - Strong experience leading data migration, ETL, or data platform modernization projects. - Solid understanding of relational databases, data modeling, SQL development, and data validation. - Experience with Oracle, SQL Server, and/or Azure SQL. - Experience with ETL/integration platforms such as Boomi, Azure Data Factory, SSIS, Informatica, Talend, MuleSoft, or similar tools. - Ability to guide technical architecture and design decisions across database and integration workstreams. - Strong understanding of source-to-target mapping, data profiling, migration planning, reconciliation, and cutover activities. - Ability to provide technical support to engineers and help resolve design, development, performance, and data quality issues. - Experience managing project timelines, deliverables, dependencies, risks, and technical decisions. - Strong client-facing communication skills. - Ability to coordinate with business stakeholders, architects, developers, QA resources, and project leadership. - Strong documentation skills, including technical decisions, risks, action items, and status updates. Requirements - Lead the technical execution of the migration from Oracle and Boomi to Azure SQL and Azure Data Factory. - Guide architecture and design decisions across database migration, ETL migration, integration, validation, and deployment activities. - Serve as the main technical point of contact with the client. - Translate client requirements, priorities, and constraints into actionable technical direction for the team. - Coordinate the work of the database migration and ETL/Azure Data Factory engineers. - Review and validate technical designs, source-to-target mappings, migration approaches, and implementation plans. - Provide hands-on technical guidance and troubleshooting support when needed. - Help resolve complex issues related to data conversion, pipeline design, performance, compatibility, validation, and reconciliation. - Track project timeline, deliverables, dependencies, risks, and open decisions. - Ensure the team is aligned on priorities, scope, quality expectations, and delivery commitments. - Communicate project status, risks, blockers, and key decisions to client stakeholders and internal leadership. - Support planning for testing, production cutover, rollback considerations, and post-migration stabilization. - Ensure technical documentation is created and maintained throughout the engagement. - Promote best practices for data migration, ETL design, security, performance, monitoring, and maintainability. Benefits - Monetary compensation - Year-end Bonus - IMSS, AFORE, INFONAVIT - Major Medical Expenses Insurance - Life Insurance - Funeral Expenses Coverage - TDU Membership - MediAccess - Health Check-Up Subsidy - Preferential rates for car insurance - Vacations - Official Mexican Holidays - Life Happens Days - Bereavement Leave - Civil Marriage Leave - English Classes - Certifications - Educational Agreements (Talisis, U-ERRE, UNID, TecMilenio, Tec de Monterrey, UDEM, SPIS) - Corporate Agreements & Discounts (Sorteos Tec, Envia Flores, TopGolf) - Taquitos Rewards - Birthday Bonus - Work-from-home Bonus - Laptop Policy Company Description Enroute is committed to providing equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Role Description We are seeking a data-driven Ai Engineer to join our team at a high-growth advertising technology company. This role focuses on scaling our reporting infrastructure for advertising performance and billing reconciliation, ensuring that financial and operational data is accurate, automated, and actionable. - Develop robust data pipelines, ensuring data quality and reliability. - Enable efficient data consumption across the organization. - Collaborate closely with cross-functional teams including Product, Engineering, Analytics, and Business stakeholders to deliver high-impact data platforms. The ideal candidate is a proactive problem-solver with strong technical expertise, capable of working with large datasets, modern data architectures, and cloud-based environments. You thrive in fast-paced settings, navigate ambiguity with confidence, and are passionate about turning data into actionable value. Qualifications - Databricks & AI Architecture (Must-Have) - Strong experience working with Databricks Lakehouse architecture - Nice to have expertise in Databricks Mosaic AI and Unity Catalog for governing AI assets - Hands-on experience Building RAG (Retrieval-Augmented Generation) pipelines using Vector Search - SQL & Data Modeling (Must-Have) - Advanced SQL development - AI Engineering & Data Workflows (Must-Have) - Experience integrating LLM APIs (OpenAI, Anthropic, etc.) into data workflows - Hands-on experience using AI for: - Data enrichment - Anomaly detection - Automated classification - Experience with LangChain, LlamaIndex, or similar frameworks - Exposure to Model Context Protocol (MCP) or similar approaches to connect AI models with external tools and data sources - Strong understanding of Tool Calling / Function Calling: enabling LLMs to interact with SQL databases and external APIs securely. - Experience in Prompt Engineering and Guardrailing: designing system prompts that maintain context and hierarchy (e.g., understanding team associations). - Platform & Engineering Practices (Nice-to-Have / Medium) - Experience with GitHub workflows - Familiarity with CI/CD pipelines (Jenkins or similar) - Experience working with YAML/YML configuration files Requirements - Architect AI Agents: Build and deploy agents that can perform NLP-based data generation, automated data enrichment, and complex data reasoning within Databricks. - Natural Language Interfaces: Develop "Chat with your Data" features, allowing stakeholders to query the data warehouse using natural language. - Integrate LLMs into data workflows for automation and intelligence. - Develop scalable data models to support analytics and AI use cases. - Implement AI-driven enhancements such as anomaly detection and data enrichment. - Collaborate with data, analytics, and engineering teams to improve data reliability. - Optimize performance and scalability of data and AI workflows. - Support automation through CI/CD practices. - Ensure data quality, traceability, and maintainability across pipelines. Benefits - Monetary compensation - Year-end Bonus - IMSS, AFORE, INFONAVIT - Major Medical Expenses Insurance - Life Insurance - Funeral Expenses Coverage - TDU Membership - MediAccess - Health Check-Up Subsidy - Preferential rates for car insurance - Vacations - Official Mexican Holidays - Life Happens Days - Bereavement Leave - Civil Marriage Leave - English Classes - Certifications - Educational Agreements (Talisis, U-ERRE, UNID, TecMilenio, Tec de Monterrey, UDEM, SPIS) - Corporate Agreements & Discounts (Sorteos Tec, Envia Flores, TopGolf) - Taquitos Rewards - Birthday Bonus - Work-from-home Bonus - Laptop Policy

• Establish and evolve the enterprise data architecture vision aligned to Autodesk’s business strategy • Define enterprise data domains and ownership models across operational, customer, and analytical ecosystems • Develop guiding principles and guardrails for how data is created, shared, mastered, governed, and activated • Shape architectural patterns that support data products, domain-oriented ownership, and modern data paradigms • Identify enterprise data assets that can be activated to power AI/ML, personalization, automation, and intelligent decisioning • Design architectural patterns that make high-quality, governed data accessible for AI workflows across the organization • Ensure machine learning pipelines and AI systems are grounded in authoritative enterprise data domains • Partner with AI/ML and product teams to define scalable, reusable data foundations for experimentation and production AI systems • Remove systemic barriers that limit data discoverability, accessibility, and reuse • Create and maintain high-level conceptual and logical data models spanning CRM, ERP, Finance, subscription systems, marketing platforms, support systems, and analytics environments

Role Description We are seeking an experienced Senior Software Engineer, Data Platform, to contribute to the design, development, and optimization of our data infrastructure. This role requires deep expertise in GCP, data engineering, Change Data Capture (CDC), ETL, governance, and streaming technologies. You will work closely with data scientists, analysts, and software engineers to ensure seamless data ingestion, processing, and access across the organization. This is a foundational role within a growing team that requires a hands-on architect who can balance speed, excellence, and pragmatism. Key Responsibilities - Contribute to the design, development, and scaling of core data infrastructure using GCP, Spark, Databricks, and Fivetran. - Develop robust and maintainable ETL/ELT workflows that support diverse structured and unstructured data needs across the organization. - Implement and manage Change Data Capture (CDC) pipelines to enable near real-time data replication and synchronization. - Define and enforce data governance and compliance standards, including access control, auditability, lineage, and metadata management. - Build and manage streaming and batch data pipelines to serve high-impact use cases across analytics, product, compliance, and experimentation. - Act as a strategic partner to cross-functional teams (product, analytics, engineering, clinical) to ensure data is accessible, trustworthy, and impactful. - Drive the long-term architectural vision of our data platform to support current and future business and product needs. Qualifications - 5+ years of experience in software engineering, with a focus on scalable data architectures. - Strong expertise in GCP (IAM, GCS, Pub/Sub, etc.) and hands-on experience with Spark and Databricks. - Hands-on experience with CDC technologies like Fivetran, or equivalent. - Proficiency in ETL/ELT tools and frameworks (dbt, Apache Airflow, Dataform, etc.). - Deep understanding of data governance principles, including compliance and security best practices. - Demonstrated success in collaborating across functions to deliver data solutions for analytics, experimentation, or compliance. - A balance of IC execution and leadership skills; you’re equally comfortable rolling up your sleeves or mentoring others. - Familiarity with streaming data architecture, real-time ingestion, and delivery frameworks. - Proficient in SQL and Python for data processing and automation. - Strong problem-solving skills with the ability to work in a fast-paced environment. - Excellent communication and technical storytelling skills — you can align technical work with business value. Nice-to-Have Skills and Experiences - Experience with Terraform or Infrastructure-as-Code (IaC) for data infrastructure automation. - Background in HIPAA or other regulated environments with sensitivity to data privacy and compliance. - Familiarity with the dbt Semantic Layer and modern data modeling best practices. - Exposure to data observability platforms and practices. - Familiarity with machine learning data pipelines. - Exposure to multi-cloud or hybrid-cloud environments. - Experience building scalable solutions in a 0-1 environment. To be a strong fit, you also need - Bias Toward Action: Demonstrated ability to take initiative, make decisions under uncertainty, and move projects forward even in the face of ambiguity. - Entrepreneurial Spirit: Strong adaptability to changing business needs with a knack for building and optimizing processes. - Communication: Excellent communication skills, capable of explaining complex technical concepts to non-technical stakeholders. - Remote Work Adaptability: Comfort with remote work environments, demonstrating the ability to stay productive and connected with the team irrespective of physical location. - Continuous Improvement: A willingness to question assumptions and a commitment to continuous improvement. Benefits - Competitive salary. - Equity and benefits package. - Flexible, fully-remote working hours. - A dynamic work environment where creativity and innovation are encouraged.