TSS Solutions Architect, Data and Analytics

Key Skills

Agile methodologies, AWS, AWS Sagemaker, Azure, Continuous Integration & Continuous Delivery - CI/CD, Data management, Data science techniques, Databricks, DevSecOps, Google Cloud Platform (GCP), Keras software library, Machine learning techniques, PowerBI, Python Programming, PyTorch, R Programming, SQL

Job Description

You will find yourself at the heart of GDIT’s customer-centric approach, playing a pivotal role in ensuring our customers successfully meet their strategic goals. You will use your architecture and data skills to promote organizational goals to completion. If you enjoy collaborating with others in a fast-paced environment, you will find this role to be both rewarding and challenging.

HOW A SOLUTIONS ARCHITECT WILL MAKE AN IMPACT

• Grows GDIT’s data analytics, AI, and automation capabilities for federal and state/local customers.
• Supports growth and proposal initiatives to align data architectures and solutions to business objectives.
• Presents insights to both technical and non-technical team members and stakeholders, assisting in making informed, data-driven decisions.
• Contributes to a variety of complex data-related projects, including machine learning, predictive modeling, and analytics.
• Designs and builds cloud and data architectures in AWS and Azure.
• Mentors and advises data practitioners in analysis, engineering, and data science projects.
• Supports capture and proposal efforts to secure new or re-compete contracts, or task order business by developing technical solutions for capture strategy and proposal responses.
• Leverages large sets of structured and unstructured data to develop tools and techniques for robust data analysis.
• Collaborate with different teams to understand their data needs and create solutions that solve problems and streamline workflows.
• Continually evaluate emerging technologies and stay updated on modern data science trends to implement in future projects.
• Provide marketing and technical documentation that supports the use of those solutions.
• Presents solutions and capabilities at conferences, directly to customers, and internally to the rest of GDIT.
• Guides the successful completion of major programs and may function in a project leadership role.
• Develops data-driven solutions to unusually complex business challenges.
• Utilizes advanced tools and computational skills to interpret, connect, predict and make discoveries in complex data and deliver recommendations for business and analytic decisions.
• Uses predictive modeling to increase and optimize customer experiences, efficiencies, process improvements, and other business outcomes.
• Works with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Designs, researches, and develops highly advanced processes, which may result in new product/business opportunities for the company.

WHAT YOU’LL NEED TO SUCCEED

Education:

• BA/BS (or equivalent years of experience)

Required Experience:

• 20+ years of relevant experience

Required Skills and Abilities:

• Expert-level experience in AWS and Azure data architecture.
• Relevant certifications in AWS, Azure, and enterprise architecture (e.g., AWS Certified Solutions Architect Associate, Azure Fundamentals, Azure Data Fundamentals, TOGAF).
• Experienced in implementing some machine learning techniques (may include supervised and unsupervised learning, deep learning, natural language processing, ensemble methods, dimensionality reduction)
• Skilled in programming languages like Python, R, SQL, and experience in working with data visualization tools like Tableau and Power BI.
• Experienced in implementing Databricks for data engineering and data science.
• Experienced in implementing enterprise data management architecture and solutions.
• Strong knowledge of data modeling, database design, and ETL processes.
• Ability to assist in the architecture and development of a DevSecOps, CI/CD analytics development pipeline environment using in-house and cloud-based technologies.
• Excellent communication and presentation skills with the ability to present complex data insights to both technical and non-technical audiences.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate insights with attention to detail and accuracy.
• Good team player, able to manage multiple assignments, and adapt to changing client needs.
• Skilled in implementing advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.)
• Familiarity with machine learning frameworks (like Keras or PyTorch), libraries (like scikit-learn), and data science platforms (like Databricks and SageMaker)
• Must be able to obtain and maintain a Secret clearance.

Preferred Skills:

• Experienced in implementing data governance, data quality, and data management for large organization.
• Certifications in Google Public Cloud (GCP).
• Certifications in Databricks and/or Snowflake.
• Certification in AWS Certified Solutions Architect Professional
• Knowledge of ITIL framework
• Knowledge of Agile methodology
• Demonstrated experience consulting with internal and external customers to understand business needs and make recommendations.
• Previous experience in the defense or government sector.