• Lead end-to-end migration of enterprise data platforms from AWS to Google Cloud Platform • Design migration strategies for AWS Redshift, Glue, S3, DynamoDB, Data Lakes, Data Warehouses, and ETL pipelines into GCP-native services • Modernize existing AWS data architectures using Google Cloud best practices • Assess existing AWS environments and recommend optimized GCP solutions • Ensure seamless migration with minimal business disruption • Design scalable batch and streaming data pipelines using Google Dataflow (Apache Beam) • Develop event-driven architectures using Google Pub/Sub • Build enterprise analytical solutions using BigQuery, including streaming inserts and performance optimization • Develop and orchestrate workflows using Cloud Composer (Apache Airflow) • Manage enterprise-scale storage using Google Cloud Storage (GCS) • Implement cloud-native data engineering solutions following Google Cloud best practices • Design, develop, and optimize ETL/ELT pipelines using AWS Glue and AWS Glue DataBrew • Work extensively with Amazon Redshift, Amazon S3, and DynamoDB • Develop scalable ETL workflows using Python, PySpark, and SQL • Build and maintain Data Lakehouse architectures supporting enterprise analytics • Optimize data ingestion, transformation, and loading processes across hybrid cloud environments • Design modern Data Lakehouse, Data Warehouse, and Data Lake architectures • Develop dimensional data models, star schemas, and optimized analytical datasets • Build transformation pipelines using DBT (Data Build Tool) • Write and optimize complex SQL queries for high-performance analytics • Ensure data quality, governance, metadata management, and performance optimization • Lead migration of enterprise dashboards from Qlik Sense to Looker • Translate business reporting requirements into scalable semantic models • Optimize reporting performance using BigQuery and LookML best practices • Collaborate with business stakeholders to modernize enterprise reporting platforms • Lead architecture design sessions and cloud migration workshops • Mentor Data Engineers and establish engineering best practices • Conduct architecture, code, and design reviews • Collaborate with business, DevOps, QA, and Analytics teams • Coordinate effectively with onsite and offshore delivery teams • Implement enterprise security standards across AWS and GCP • Define IAM, encryption, auditing, and monitoring strategies • Ensure compliance with governance and regulatory standards • Establish data quality frameworks and operational monitoring • Gather business requirements and define cloud migration roadmaps • Estimate project efforts and prepare technical solution documents • Manage project timelines, risks, dependencies, and stakeholder communications • Present technical architecture and migration strategies to leadership and clients

Role Description CTG is seeking an experienced Enterprise Data Architect to assess, design, and optimize enterprise data architecture across on-premises and hybrid environments. This role will focus on data modeling, integration, ETL/ELT architecture, metadata management, and data governance while partnering with cross-functional teams to improve enterprise data quality, scalability, and accessibility. Location: Remote or Dallas, TX (preferred) Duration: 2 months Duties: - Design and evaluate enterprise data architecture and integration solutions. - Analyze SQL and NoSQL database schemas and recommend improvements. - Develop conceptual, logical, and physical data models. - Design ETL/ELT processes and enterprise data pipelines. - Create data mapping and transformation specifications. - Assess and improve data quality through profiling and validation. - Document data lineage, source-of-truth, and governance standards. - Support API integrations using REST, SOAP, and event-driven architectures. - Implement metadata management and data cataloging best practices. - Analyze edge application data models and enterprise integration requirements. - Collaborate with business and technical teams to establish enterprise data standards. Qualifications - SQL and NoSQL database schema analysis - Enterprise data architecture (on-premises and hybrid environments) - Conceptual, logical, and physical data modeling - ETL/ELT design and data pipeline development - Data transformation and mapping frameworks - REST, SOAP, and event stream integration - Data profiling and data quality assessment tools - Data lineage and source-of-truth tracking - Data cataloging and metadata management tools - Experience with edge application data models - Strong analytical, communication, and documentation skills Requirements - 8+ years of enterprise data architecture or data engineering experience. - Proven experience designing enterprise data models and integration architectures. - Experience implementing data governance, metadata management, and data quality initiatives. - Experience working within large enterprise environments. - Ability to communicate effectively with technical and business stakeholders. Education - Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related discipline. - Equivalent professional experience will also be considered. - Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required. To Apply To be considered, please apply directly to this requisition using the link provided. Kindly forward this to any other interested parties. Thank you! Salary The expected base salary for this position ranges from $50.00 to $55.00/hour. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained. In addition to salary, a competitive benefit package is also offered.

• Build and maintain end-to-end Ingest → Transform → Expose pipelines using Airflow, Spark, dbt, and Iceberg. • Ingest and normalize structured and unstructured data (HL7, FHIR, PDF, JSON) for analytics and AI/ML use cases. • Map datasets to FHIR and OMOP standards to enable interoperability and decision support. • Implement schema versioning and governance to ensure traceability and audit-ready lineage. • Collaborate with DevSecOps and Data Science teams to deliver AI-ready datasets for predictive analytics and readiness forecasting. • Optimize data performance across distributed environments while ensuring compliance with DoD Responsible AI and NIST AI Risk Management frameworks.

Company Description Fortune Brands Innovations, Inc. is an industry-leading home, security and digital products company. We’re focused on exciting opportunities within the home, security and commercial building markets. Our driving purpose is to elevate every life by transforming spaces into havens. We believe our work and our brands can have incredibly positive impacts for not just our business and shareholders, but for people and the planet, too. At Fortune Brands, we’re building something big. We’re advancing exciting innovations in all of our products and processes. We’re delivering trust, dependability, sustainability, and style. To make it all happen, we’ve transformed our workplace into an environment where smart, ambitious people have the support to reach their fullest potential. When you join Fortune Brands, you become part of a high-performing team empowered to think big, learn fast and make bold decisions. We support an inclusive culture where everyone is encouraged be their authentic selves, and where our differences and unique perspectives are a key strength. Explore life at Fortune Brands here. Job Description Lead Data Engineer, Fortune Brands Innovations Group, Inc., Deerfield, IL. Administer a cloud data warehouse platform (e.g., Snowflake or similar), including roles/permissions, performance tuning, security, & cost governance. Utilize Git for version control & collaboration throughout the development lifecycle. Help design scalable, reliable, & secure data architectures & models. Must have a Bachelor's Degree in Computer Science, Information Systems, or related & 5 years of experience in a data engineering or data operations position. Qualifications Of experience required, must also have 5 years of experience in each of the following: - Developing & maintaining ETL/ELT pipelines - Utilizing professional SQL development - Professional Python development with code-quality/testing practices - Using version control within the development lifecycle - Working with a cloud data warehouse platform (e.g., Snowflake, Amazon Redshift, or Google BigQuery) including performance optimization & role-based access/security - Building transformations & models using a data transformation framework (e.g., dbt or similar) - Implementing CI/CD for data code using common tools - Monitoring & optimizing cloud data platform costs - Migrating & loading data from APIs, SaaS applications, & ERP systems (e.g., Oracle or SAP) - Working with ETL tools & relational database platforms; & - Unix-based command-line tools. Experience may be gained concurrently. 100% remote. Apply online at: www.fbin.com/careers Additional Information Fortune Brands believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is $160,555 to $193,000 per year. An employee’s actual salary within the range will be based on factors including, but not limited to, relevant education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based sales incentive plan. At Fortune Brands, we support the overall health and wellness of our associates by offering comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates’ unique needs. This includes robust health plans, a market-leading 401(k) program with a company contribution, product discounts, flexible time off benefits, adoption benefits, and more. We offer numerous ERGs (Employee Resource Groups) to foster a sense of belonging for all associates. Fortune Brands is built on industry-leading brands and innovation within the high-growth categories of water, outdoors and security. The Company makes innovative products for residential and commercial environments, with a growing focus on digital solutions and products that add luxury, contribute to safety and enhance sustainability. To learn more, visit our website at fbin.com. Equal Employment Opportunity Fortune Brands is an equal opportunity employer. Fortune Brands evaluates qualified applicants without regard to race, color, religion, sex, gender identity or expression, national origin, ancestry, age, disability/handicap status, marital status, protected veteran status, sexual orientation, genetic history or information, or any other legally protected characteristic. Reasonable Accommodations Fortune Brands is committed to working with and providing reasonable accommodations to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please contact us at fbinleave.fbhs@fbin.com and let us know the nature of your request along with your contact information. Important Notice: Protect Yourself from Fraudulent Job Postings To protect yourself from fraudulent job postings or recruitment scams, please note that Fortune Brands job postings are exclusively hosted on our website at fbin.com/careers via our SmartRecruiters platform. Fortune Brands will never request banking information or sensitive personal details until an offer of employment has been accepted and the onboarding process begins.