Senior Data Engineer/Architect

We are seeking a highly skilled and experienced Senior Data Engineer/Architect to design and build scalable data platforms that support enterprise analytics, business intelligence, and advanced AI/ML use cases.This role will lead the design and implementation of modern data architectures using cloud-native technologies and best practices such as Medallion architecture, master data management (MDM), and robust data governance frameworks.The ideal candidate has deep expertise in data warehousing, distributed data processing, SQL optimization, and cloud-based data platforms. This role partners closely with business stakeholders and IT teams to translate business requirements into reliable data models, dashboards, and insights.ResponsibilitiesDesign and develop dimensional and analytical domain data models (star/snowflake schemas)Build and optimize SQL‑based transformations and semantic layersEnsure data accuracy, consistency, and performance across BI solutionsPartner with different functional leaders on data ingestion, orchestration, and data qualityImplement data validation, reconciliation, and monitoring checksDocument data definitions, metrics, and lineagePromote best practices for data usage and reporting standardsTune queries and data models for performanceOptimize warehouse usage and cost efficiencyMaintain and troubleshoot data issues in productionQualificationsBachelor’s degree in computer science, Data, Analytics, or related field8+ years of experience in data engineering, data architect roleHands-on experience building modern data pipelines within a major cloud platform (GCP, AWS, Azure)Hands-on experience in advanced SQL, Python, PySparkExperience with cloud data platforms such as Databricks or SnowflakeExperience with Data Lake and Data modeling (Kimball / dimensional modeling)Experience with ETL/ELT frameworks (dbt, Apache Spark, Airflow, or similar preferred)Experience with real-time and streaming technology (i.e. Azure Event Hubs, Kafka, Spark Streaming)Ability to partner effectively with technical and business stakeholders in a global matrixed environment.KnowledgeStrong problem‑solving and analytical mindsetAbility to explain complex data concepts to non‑technical usersExcellent documentation and communication skills