TLA-LLC
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 Responsibilities
Design and Strategy: Develop and maintain the enterprise data architecture, defining the overall data strategy, principles, standards, and guidelines
Data Modeling & Database Design: Create conceptual, logical, and physical data models for database structures, data warehouses, and data lakes using industry‑standard tools
System Integration: Design and implement solutions to integrate data from disparate internal and external sources, ensuring seamless data flow and accessibility
Data 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‑efficiency
Technology Evaluation: Evaluate and recommend new database technologies, cloud platforms (AWS, Azure, GCP), and tools to continuously enhance our data capabilities
Collaboration and Leadership: Provide technical leadership and guidance to development and data engineering teams, and communicate complex data concepts to non‑technical stakeholders effectively
Documentation: Create and maintain comprehensive documentation of data architectures, data flows, and technical specifications
Requirements
Education: 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 solutions
Technical 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 Scala
Strong 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 skills
Strong leadership, communication, and interpersonal skills to collaborate across teams and influence change
Detail‑oriented with a commitment to data quality and accuracy
Preferred Certifications
Certified Data Management Professional (CDMP) from DAMA International
IBM Certified Data Architect - Big Data
Cloud Platform Certifications:
Microsoft Certified: Azure Data Engineer Associate / Azure Solutions Architect
AWS Certified Data Analytics - Specialty / Solutions Architect - Professional
Google Cloud Professional Data Engineer / Architect
TOGAF 9 Certification (for Enterprise Architecture focus)
Benefits
Competitive salary and performance bonuses
Medical, dental, and vision coverage
Paid time off and federal holidays
401(k) with company match
Education and certification reimbursement
Training and professional development opportunities
Employee referral bonuses and team events
TLA is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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Key Responsibilities
Design and Strategy: Develop and maintain the enterprise data architecture, defining the overall data strategy, principles, standards, and guidelines
Data Modeling & Database Design: Create conceptual, logical, and physical data models for database structures, data warehouses, and data lakes using industry‑standard tools
System Integration: Design and implement solutions to integrate data from disparate internal and external sources, ensuring seamless data flow and accessibility
Data 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‑efficiency
Technology Evaluation: Evaluate and recommend new database technologies, cloud platforms (AWS, Azure, GCP), and tools to continuously enhance our data capabilities
Collaboration and Leadership: Provide technical leadership and guidance to development and data engineering teams, and communicate complex data concepts to non‑technical stakeholders effectively
Documentation: Create and maintain comprehensive documentation of data architectures, data flows, and technical specifications
Requirements
Education: 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 solutions
Technical 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 Scala
Strong 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 skills
Strong leadership, communication, and interpersonal skills to collaborate across teams and influence change
Detail‑oriented with a commitment to data quality and accuracy
Preferred Certifications
Certified Data Management Professional (CDMP) from DAMA International
IBM Certified Data Architect - Big Data
Cloud Platform Certifications:
Microsoft Certified: Azure Data Engineer Associate / Azure Solutions Architect
AWS Certified Data Analytics - Specialty / Solutions Architect - Professional
Google Cloud Professional Data Engineer / Architect
TOGAF 9 Certification (for Enterprise Architecture focus)
Benefits
Competitive salary and performance bonuses
Medical, dental, and vision coverage
Paid time off and federal holidays
401(k) with company match
Education and certification reimbursement
Training and professional development opportunities
Employee referral bonuses and team events
TLA 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