Data Architect

• Architect, develop, and evolve integration solutions using Informatica IDMC/CDI
• Design scalable ETL/ELT pipelines for enterprise and cloud environments
• Define development, architecture, naming, parameterization, and component-reuse standards
• Develop and review mappings, tasks, taskflows, and integration frameworks
• Define batch, incremental, CDC, and near-real-time ingestion strategies
• Design integrations involving databases, APIs, files, SaaS applications, Data Warehouses, Data Lakes, and Lakehouse platforms
• Develop and optimize solutions using advanced SQL and Python
• Implement and guide performance-tuning strategies, including Pushdown Optimization
• Define standards for error handling, logging, auditing, reconciliation, and observability
• Support decisions related to data architecture and modeling
• Structure CI/CD processes and deployment strategies for IDMC solutions
• Conduct code reviews and ensure adherence to standards and best practices
• Analyze and resolve critical issues in production environments
• Support estimates, technical planning, and implementation strategy
• Translate functional and business requirements into scalable technical solutions
• Lead technical discussions with clients, architects, and stakeholders
• Serve as a technical reference and mentor for junior and mid-level professionals
• Evaluate new IDMC features and propose improvements to architecture and processes

• Strong experience with Informatica IDMC/IICS, particularly Cloud Data Integration (CDI)
• Advanced experience in ETL/ELT solution architecture and development
• Advanced SQL, including query optimization and large-volume data processing
• Strong experience with Python for automation, integration, and data processing
• Experience with Data Warehouses, Data Lakes, and Lakehouse architectures
• Experience with cloud platforms, preferably Microsoft Azure
• Experience with Databricks, Snowflake, or modern data platforms
• Experience with REST/SOAP API integrations
• Knowledge of batch, near-real-time, and event-driven integration patterns
• Experience with Git, CI/CD, and deployment automation
• Experience with performance tuning and troubleshooting complex pipelines
• Knowledge of data security, governance, and quality
• Experience defining development standards and best practices
• Technical leadership and mentoring skills
• Excellent communication and relationship-building skills with clients and stakeholders
• Ability to work independently in highly complex environments
• Preferably 6+ years of experience in Data Integration, ETL/ELT, or Data Engineering, with solid, proven experience in Informatica IDMC/CDI and delivering medium- to high-complexity solutions
• Preferred qualifications: experience with other IDMC modules, PowerCenter-to-IDMC migrations, advanced Azure, Snowflake, dbt, Spark/PySpark, Delta Lake, Kafka, Terraform, regulated environments, Informatica/Azure/Databricks/Snowflake certifications, and advanced or fluent English

• Inclusive culture that values diversity
• Internal inclusion and social responsibility committees, including groups for Women, People with Disabilities, Black People, LGBTQIAPN+ individuals, Parents, and Generations
• Opportunities open to everyone
• Support for professional development and career acceleration