Data Architect

TLA is seeking an experienced and visionary Data Architect to design, optimize, and oversee our organization's enterprise data management framework. In this crucial role, you will define the blueprint for how data is collected, stored, integrated, and consumed across various platforms to support data‑driven decision‑making and drive business objectives. You will collaborate closely with cross‑functional teams, including data engineers, analysts, and business leaders, to ensure our data infrastructure is scalable, secure, compliant, and aligned with long‑term strategic goals.Key ResponsibilitiesDesign and Strategy: Develop and maintain the enterprise data architecture, defining the overall data strategy, principles, standards, and guidelinesData Modeling & Database Design: Create conceptual, logical, and physical data models for database structures, data warehouses, and data lakes using industry‑standard toolsSystem Integration: Design and implement solutions to integrate data from disparate internal and external sources, ensuring seamless data flow and accessibilityData Governance & Security: Establish and enforce data governance frameworks, quality standards, and security measures (e.g., encryption, access controls) to ensure data integrity, privacy, and compliance with regulations (GDPR, HIPAA, CCPA, etc.)Performance Optimization: Monitor and optimize data systems, queries, and ETL/ELT processes to ensure high performance, scalability, and cost‑efficiencyTechnology Evaluation: Evaluate and recommend new database technologies, cloud platforms (AWS, Azure, GCP), and tools to continuously enhance our data capabilitiesCollaboration and Leadership: Provide technical leadership and guidance to development and data engineering teams, and communicate complex data concepts to non‑technical stakeholders effectivelyDocumentation: Create and maintain comprehensive documentation of data architectures, data flows, and technical specificationsRequirementsEducation: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (Master's degree preferred)Experience: 5+ years of proven experience in data architecture, data modeling, and database management, with a track record of designing and implementing large‑scale data solutionsTechnical Skills:Deep expertise in relational (SQL Server, Oracle, PostgreSQL, etc.) and NoSQL databases (MongoDB, Cassandra, etc.)Proficiency in programming languages such as Python, Java, or ScalaStrong experience with ETL/ELT processes and tools (Apache Spark, Airflow, Informatica, Talend, Azure Data Factory, etc.)Familiarity with big data technologies (Hadoop, Spark, Kafka) and cloud platforms (AWS, Azure, or Google Cloud)Expertise in data modeling techniques (dimensional modeling, 3NF) and data modeling tools (Erwin, Visio, etc.)Soft Skills:Exceptional analytical and problem‑solving skillsStrong leadership, communication, and interpersonal skills to collaborate across teams and influence changeDetail‑oriented with a commitment to data quality and accuracyPreferred CertificationsCertified Data Management Professional (CDMP) from DAMA InternationalIBM Certified Data Architect - Big DataCloud Platform Certifications:Microsoft Certified: Azure Data Engineer Associate / Azure Solutions ArchitectAWS Certified Data Analytics - Specialty / Solutions Architect - ProfessionalGoogle Cloud Professional Data Engineer / ArchitectTOGAF 9 Certification (for Enterprise Architecture focus)BenefitsCompetitive salary and performance bonusesMedical, dental, and vision coveragePaid time off and federal holidays401(k) with company matchEducation and certification reimbursementTraining and professional development opportunitiesEmployee referral bonuses and team eventsTLA is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.#J-18808-Ljbffr