Architect - Data Engineering

Job Family Data Science Analysis India Travel Required Up to 10 Clearance Required None What You Will Do Design and lead end-to-end architecture for modern cloud-native data engineering AI ML and analytics platforms across the full data lifecycle including ingestion storage transformation and consumption Architect high-performance data solutions using Azure Databricks Fabric Snowflake AWS Redshift Power BI Tableau Python and other relevant technologies Collaborate with technology leadership and engineering teams to align solutions with enterprise strategy business goals and innovation roadmaps Define and enforce standards for data quality metadata lineage and governance in partnership other teams using market leading tools Provide architectural guidance for AI ML integrations including data preparation feature engineering and model deployment support Conduct design reviews architectural assessments and performance tuning to ensure system reliability scalability and maintainability Develop and maintain reusable patterns frameworks and coding standards in ADF Python PySpark and SQL Collaborate with product managers engineering leads analysts and data scientists to deliver high-impact cross-functional solutions Drive the evaluation and adoption of emerging technologies in cloud data platforms streaming analytics and intelligent automation Mentor data engineers and oversee best practices in solution design code quality documentation and continuous improvement Support DevOps and DataOps initiatives by integrating CI CD pipelines Git workflows and automated testing into engineering workflows What You Will Need Bachelor s or Master s degree in Computer Science Information Systems Data Engineering or a related field 10 years of progressive experience in data engineering data modelling including at least 5 years in an architecture-focused or lead technical role Proven experience architecting enterprise-grade cloud data platforms using Azure and AWS Deep expertise in technologies such as Azure Data Factory Snowflake Databricks Spark PySpark and SQL-based processing Strong grasp of modern data architecture paradigms including data lakehouse data fabric microservices and event-driven design patterns Solid understanding of DevOps and Infrastructure-as-Code practices including CI CD pipelines Docker Kubernetes and automated deployment frameworks What Would Be Nice To Have Familiarity with modern data architecture frameworks including data mesh data fabric and data lakehouse Industry experience in Healthcare Finance or other highly data-driven domains Experience with Database Lifecycle Management DLM tools and strong understanding of CI CD pipelines branching strategies and collaborative DevOps practices Hands-on experience integrating with data governance and master data management platforms s Proficiency in Python Scala or similar programming languages commonly used in large-scale data engineering Understanding of AI ML model lifecycle architecture including data preparation model training and production deployment best practices Relevant certifications in cloud architecture e g Azure Solutions Architect AWS Certified Data Analytics or enterprise architecture e g TOGAF Framework What We Offer Guidehouse offers a comprehensive total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans Individuals with Disabilities or any other basis protected by law ordinance or regulation Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco If you have visited our website for information about employment opportunities or to apply for a position and you require an accommodation please contact Guidehouse Recruiting at 1-571-633-1711 or via email at All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including guidehouse com or Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event Never provide your banking information to a third party purporting to need that information to proceed in the hiring process If any person or organization demands money related to a job opportunity with Guidehouse please report the matter to Guidehouse s Ethics Hotline If you want to check the validity of 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