Description
- The Enterprise Data Architect is a strategic and technical leader responsible for designing, governing, and evolving the enterprise data portfolio with alignment to state of the art and industry leading architecture and practices. This role ensures alignment between business goals and data capabilities by collaborating across business units, security, risk, engineering, cloud enablement, data science, and enterprise API governance teams. The architect will drive the development of scalable, secure, and intelligent data platforms, enabling advanced analytics, AI / ML, and generative AI use cases across the organization.
Additional Responsibilities :
Enterprise Data Architecture & Strategy - Define and evolve the enterprise-wide data architecture, including data lakes, data warehouses, data mesh, and data fabric. Develop and maintain a forward-looking data strategy aligned with business and digital transformation goals. Lead the design of cloud-native, API-driven, and event-driven data platforms.Developing and maintaining the enterprise data architecture standards, including data modeling practices, data management standards and overall banking / financial services industry best practicesDesigning data integration solutions and processes, including ETL (Extract, Transform, Load), to ensure seamless data flows across the organizationClose collaboration with cybersecurity architecture, cloud center-of-excellence, data engineering, and business stakeholders to deliver data solutionsStaying current with emerging data technologies and platforms in the data engineering and data science space (e.g., cloud-based data analytics, data lakes and warehousing), evaluation and recommendation of appropriate solutions meeting architectural principlesWork closely with business stakeholders, product owners, data scientists, engineers, and API governance teams to co-create data-driven solutions. Translate business requirements into scalable and secure data solutions. Provide architectural oversight for enterprise data initiatives and modernizationAI / ML & Generative AI Enablement - Partner with data science teams to support AI / ML data pipelines, feature engineering, model training & inference, and MLOps. Architect platforms for generative AI, LLMs, NLP, computer vision, and responsible AI. Ensure AI model governance and ethical use of AI technologies.Preferred Skills / Experience :
Enterprise Data Architecture : Proven ability to design and implement scalable, secure, and high-performance data architectures across cloud and hybrid environments.Data Strategy & Governance : Expertise in defining data strategies, governance frameworks, and compliance policies to ensure data quality, integrity, and regulatory alignment.Data Modeling & Warehousing : Strong experience in conceptual, logical, and physical data modeling, as well as designing and optimizing data warehouses and data lakes.Modern Data Paradigms : Hands-on knowledge of Data Mesh, Data Fabric, and API-driven and event-driven architectures.Data Integration & Pipelines : Proficiency in building and managing ETL / ELT pipelines, streaming data flows, and batch processing systems at scale.DataOps & Automation : Familiarity with DataOps practices for CI / CD in data engineering, including monitoring, testing, and deployment automation.Security & Compliance : Deep understanding of data security, privacy, lineage, and compliance frameworks (e.g., GDPR, HIPAA).Cloud Platforms : Expertise in AWS (Glue, Redshift, Athena, SageMaker, EventBridge, RDS, Aurora, DynamoDB, Bedrock), Azure (Synapse, Data Factory), and GCP (BigQuery, Dataflow).Data Platforms & Warehousing : Hands-on experience with Snowflake, Databricks, Delta Lake, Amazon Kinesis, and Amazon Athena.Streaming & Messaging : Proficiency with Apache Kafka, Apache Flink, and Amazon Kinesis for real-time data processing.Data Engineering Tools : Skilled in Informatica, Talend, and dbt (Data Build Tool) for data transformation and orchestration.Data Catalog & Governance Tools : Familiarity with Collibra, Alation, Monte Carlo, and BigID for metadata and data quality management.Query Engines & Databases : Experience with Presto, Trino, SQL Server, PostgreSQL, Oracle Exadata, and NoSQL databases (MongoDB, Cassandra, DynamoDB).AI / ML Frameworks : Proficient in TensorFlow, PyTorch, Scikit-Learn, Hugging Face, and OpenAI API.Vector Databases & APIs : Knowledge of Weaviate, Pinecone, FAISS, and GraphQL for vector search and API-driven data access.Machine Learning & AI : Experience designing and supporting ML pipelines, including model training, inference, and deployment.Generative AI & LLMs : Knowledge of generative AI, large language models (LLMs), and their enterprise use cases.Advanced AI Techniques : Familiarity with deep learning, neural networks, NLP, computer vision, and responsible AI practices.MLOps & Governance : Competence in MLOps, feature engineering, and AI model governance to ensure scalable and ethical AI deployment.This position may be filled at a higher level depending on the candidate's qualifications and relevant experience
This position is intended to be onsite, now or in the near future . Associates will have regular work hours, including full days in the office three or more days a week. The manager will set the work schedule for this position, including in-office expectations. Regions will not provide relocation assistance for this position, and relocation would be at your expense. The locations available for this role are
Birmingham, AL, Nashville, TN, Atlanta, GA, Charlotte, NC, Dallas TX, Denver CO, Houston TX, Orlando FLA, Salt Lake City UT, Tampa FLA
Position Type Full time Compensation Details Pay ranges are job specific and are provided as a point-of-market reference for compensation decisions. Other factors which directly impact pay for individual associates include : experience, skills, knowledge, contribution, job location and, most importantly, performance in the job role. As these factors vary by individuals, pay will also vary among individual associates within the same job.The target information listed below is based on the Metropolitan Statistical Area Market Range for where the position is located and level of the position. Job Range Target : $120,156.85 USD$156,060.00 USD Incentive Pay Plans : Opportunity to participate in the Long Term Incentive Plan. Benefits Information Regions offers a benefits package that is flexible, comprehensive and recognizes that "one size does not fit all" for Listed below is a synopsis of the benefits offered by Regions for informational purposes, which is not intended to be a complete summary of plan terms and conditions.
Paid Vacation / Sick Time401K with Company MatchMedical, Dental and Vision BenefitsDisability BenefitsHealth Savings AccountFlexible Spending AccountLife InsuranceParental LeaveEmployee Assistance ProgramAssociate Volunteer ProgramPlease note, benefits and plans may be changed, amended, or terminated with respect to all or any class of associate at any time. To learn more about Regions’ benefits, please click or copy the link below to your browser.
Location Details Riverchase Operations Center Location : Hoover, AlabamaEqual Opportunity Employer / including Disabled / VeteransJob applications at Regions are accepted electronically through our career site for a minimum of five business days from the date of posting. Job postings for higher-volume positions may remain active for longer than the minimum period due to business need and may be closed at any time thereafter at the discretion of the company.
