Data Architect

We are seeking a highly skilled Data Architect to design, implement, and manage scalable data systems and architectures. The ideal candidate will have expertise in data modeling, cloud technologies, and modern data platform design, enabling business-driven decision-making and analytics. Key Responsibilities 10+ years of experience designing, building, and modernizing large-scale, resilient, and high‐performance data platforms supporting both operational and analytical workloadsAbility to develop conceptual and logical data models aligned for business outcomesAbility to define phase‐wise modernization and implementation strategies for large, multi‐year platform programs.Strong experience with data migration strategies and patterns, especially involving legacy systems and cloud-native platformsStrong SQL experience in data modeling, performance tuning and database recommendationsExperience in AWS RDS, NO-SQL databaseDeep understanding of relational and non‐relational data stores, with the ability to clearly articulate architectural trade-offsStrong knowledge of data processing, data movement, and integration patterns across batch, streaming, and event‐driven architecturesExpertise in evaluating, prototyping, and recommending technologies based on business, architectural, and operational needsStrong understanding of resiliency, security, privacy, and cloud deployment patternsProven experience in data quality, large‐scale data analysis, pattern identification, and insight generationExperience designing data stores optimized for various consumption patterns, including operational, analytical, AI/ML, and API‐driven use cases.Required Skills & Qualifications Strong experience in data architecture and platform designProficiency in SQL, data modeling, and database optimizationExperience with relational and NoSQL databasesHands-on experience with cloud platforms (AWS/Azure/GCP)Strong understanding of: Data processing and integration patternsBatch and streaming architecturesData pipelines and ETL/ELT processesExperience with data migration and legacy system modernizationAbility to analyze trade-offs and make architectural decisionsStrong understanding of security, privacy, and scalability principles Preferred / Nice to Have Experience with big data technologies (Spark, Hadoop, etc.)Knowledge of data governance frameworksFamiliarity with AI/ML data pipelinesExposure to event-driven architectures (Kafka, Kinesis, etc.Education Bachelor's or Master's degree in Computer Science, Engineering, or a related field Equal Opportunity Employer: ECLARO values diversity and does not discriminate based on Race, Color, Religion, Sex, Sexual Orientation, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status, in compliance with all applicable laws.