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.

A technology solutions company in Washington, DC is seeking an experienced Data Architect to design and oversee enterprise data frameworks. You will enhance data management strategies and collaborate with cross-functional teams on large-scale data solutions. Ideal candidates should have over 5 years of experience and strong expertise in both SQL and NoSQL databases. Competitive salary and benefits are included.

A technology solutions firm in Washington, DC is seeking an experienced Data Scientist to join their team. The ideal candidate will leverage statistics, programming, and machine learning to deliver insights that support strategic business decisions. You will work with cross-functional teams to build predictive models and communicate findings effectively. This is a full-time position offering competitive salary and comprehensive benefits including medical coverage and paid time off.

A technology services company is seeking a Software Engineer to design and develop secure computing environments. Ideal candidates will have extensive AWS experience and proficiency in full-stack development. Responsibilities include automating CI/CD pipelines and building cloud-based infrastructure. We're looking for someone with strong scripting skills and a solid understanding of microservices. This is a full-time position based in McLean, Virginia.

TLA is seeking an experienced and curious Data Scientist to join our team and transform complex data into actionable insights that drive strategic business decisions. The ideal candidate will combine expertise in statistics, programming, and machine learning to solve real-world problems and enable smarter business processes through analytics. You will work cross-functionally to define requirements, build predictive models, and communicate findings to technical and non technical stakeholders. Key Responsibilities Data Collection & Preparation: Collect, clean, and preprocess large, complex datasets from various internal and external sources to ensure data integrity and usability. Exploratory Data Analysis (EDA): Perform in-depth exploratory data analysis to identify patterns, trends, anomalies, and uncover hidden opportunities. Model Development & Implementation: Design, develop, test, and validate statistical and machine learning models (e.g., classification, regression, clustering) to forecast trends, optimize operations, and improve product offerings. Data Storytelling & Communication: Translate complex technical findings and data insights into clear, compelling narratives and visualizations (reports, dashboards, presentations) for key decision makers across the organization. Collaboration: Partner with data engineers, software developers, and business stakeholders (marketing, product, operations) to implement data driven solutions and integrate models into production environments. Experimentation: Design and execute A/B testing and other experiments to measure the effectiveness of new initiatives and continuously improve model performance. Innovation Stay up-to-date with the latest tools, technologies, and methodologies in the data science field, including AI and large language models (LLMs), to drive innovation. Requirements Education: Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, or a related discipline. Experience: 3+ years of hands on industry experience in a data science or machine learning role. Programming Languages: Strong proficiency in Python or R for data analysis and statistical modeling, and advanced knowledge of SQL for data extraction and manipulation. Machine Learning: Practical experience applying a range of machine learning techniques and algorithms (e.g., scikit learn, TensorFlow, PyTorch). Data Visualization: Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn) to present data insights effectively. Analytical Skills: Strong analytical and problem solving abilities, with an emphasis on critical thinking and the scientific method. Communication: Excellent verbal and written communication skills with the ability to explain complex data science concepts to non technical audiences. Preferred Certifications Microsoft Certified: Azure Data Scientist Associate IBM Data Science Professional Certificate Certified Analytics Professional (CAP) AWS Certified Machine Learning - Specialty TensorFlow Developer Certificate Benefits We offer a competitive and comprehensive benefits package including: 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 At TLA, we build solutions that matter-supporting national security missions through technology innovation, collaboration, and excellence. Our team is passionate about leveraging modern technologies to deliver impactful, mission focused outcomes for our customers. TLA is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Seniority level: Mid Senior level Employment type: Full time Job function: Other Industries: IT Services and IT Consulting

TLA is seeking a Software Engineer to design, develop, and integrate secure computing environments that support critical mission objectives. In this role, you'll contribute to the full software lifecycle-from architecture and development to testing and deployment-across both commercial and government cloud environments operating at multiple security levels. Responsibilities Design, develop, test, and deploy secure enclave applications and supporting infrastructure Implement and integrate open-source solutions within CentOS/RHEL environments Build and manage cloud-based infrastructure using AWS services such as EC2, Lambda, and S3 Automate environment provisioning and configuration with Infrastructure-as-Code tools (Terraform, Ansible, Packer, CloudFormation) Support DevOps workflows, including CI/CD pipelines, version control, and deployment automation Develop and maintain microservice-based architectures using Docker and other container technologies Implement messaging solutions with AWS SQS/SNS, Apache Kafka, or RabbitMQ Collaborate within cross-functional teams to deliver mission-driven software solutions Design and support immutable and ephemerally cloud infrastructure across classified and unclassified networks Requirements Full-stack development experience within CentOS/RHEL Strong scripting background (Bash and Python required; Java or Go preferred) Extensive hands on experience in AWS, including EC2, Lambda, S3, and Step Functions Proven experience leading or mentoring development teams Proficiency with Infrastructure-as-Code tools (Terraform, Ansible, Packer, CloudFormation) Experience developing, deploying, and maintaining automation tools for AWS environments Solid understanding of microservices, containerization, and cloud-native design Experience with web servers (Apache, Tomcat, Nginx) and web technologies (HTML, CSS) Proficiency with Git/GitHub and CI/CD tools such as Jenkins Familiarity with object oriented programming (Java) and scripting (Python, Bash) Linux system development and administration experience Certifications (Preferred) AWS Certified Solutions Architect (or equivalent) Project Management Professional (PMP) or equivalent Desired Skills Experience with Kubernetes setup, deployment, and management Familiarity with security accreditation processes and sponsor accreditation tools Hands on experience with AWS database services (DynamoDB, RDS, MySQL) Experience working with ELK Stack (Elasticsearch, Logstash, Kibana) and HashiCorp tools (Consul, Vault) Job Details Seniority level: Mid Senior level Employment type: Full time Job function: Other Industries: IT Services and IT Consulting