Overview:
TISTA is seeking a highly skilled Resident Solutions Architect (RSA) to provide advanced technical expertise and guidance in support of our Data and Artificial Intelligence (AI) initiatives. The RSA will play a critical role in shaping and executing modern cloud-native architectures, ensuring secure, scalable, and innovative solutions that align with mission and enterprise requirements.
TISTA associates enjoy above Industry Healthcare Benefits, Remote Working Options, Paid Time Off, Training/Certification opportunities, Healthcare Savings Account & Flexible Savings Account, Paid Life Insurance, Short-term & Long-term Disability, 401K Match, Tuition Reimbursement, Employee Assistance Program, Paid Holidays, Military Leave, and much more!

Responsibilities:

• Design and implement end-to-end architectures on Databricks, Spark, and Delta Lake supporting large-scale ingestion, ELT, and advanced analytics.
• Architect medallion (Bronze, Silver, Gold) data lakehouse patterns with batch and real-time pipelines.
• Enable ML/AI capabilities using MLflow, TensorFlow, PyTorch, and other libraries within collaborative workspaces.
• Define and enforce security standards including RBAC, SCIM, SAML, SSO, and secrets management.
• Ensure compliance with security requirements while deploying in customer-controlled VPCs.
• Integrate BI tools (Tableau, Power BI, etc.) and ensure interoperability across ecosystems.
• Provide technical leadership, documentation, and mentorship to engineering and data science teams.
• Partner with stakeholders to translate requirements into scalable and secure solutions.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 8+ years of experience in solutions architecture, data engineering, or related roles.
• Strong expertise in Databricks, Apache Spark, and Delta Lake.
• Proven experience designing secure, cloud-native architectures (AWS, Azure, or GCP).
• Hands-on experience with SQL, Python, R, or Scala in data/analytics contexts.
• Deep understanding of ACID transactions, data versioning, and point-in-time querying
• Practical experience with AI/ML model development, deployment, or integration.
• Experience with data governance, security controls, and RBAC using Unity Catalog.
• Strong communication skills with the ability to engage both technical and business stakeholders.

PREFERRED QUALIFICATIONS:

• Master’s degree in a technical discipline. Or Bachelors with 10+ years of experience
• Experience supporting large-scale federal or healthcare data platforms.
• Familiarity with ML/AI tools (MLflow, TensorFlow, PyTorch, XGBoost).
• Knowledge of CI/CD pipelines, GitHub integration, and DevOps best practices.
• Experience with BI and visualization tools (Power BI, Tableau, MicroStrategy, Qlik).
• Databricks certification (e.g., Databricks Certified Solutions Architect, Databricks Certified Data Engineer).
• Relevant cloud certifications (AWS Solutions Architect, Azure Solutions Architect, Databricks Certified Architect).

• Design and implement end-to-end architectures on Databricks, Spark, and Delta Lake supporting large-scale ingestion, ELT, and advanced analytics.
• Architect medallion (Bronze, Silver, Gold) data lakehouse patterns with batch and real-time pipelines.
• Enable ML/AI capabilities using MLflow, TensorFlow, PyTorch, and other libraries within collaborative workspaces.
• Define and enforce security standards including RBAC, SCIM, SAML, SSO, and secrets management.
• Ensure compliance with security requirements while deploying in customer-controlled VPCs.
• Integrate BI tools (Tableau, Power BI, etc.) and ensure interoperability across ecosystems.
• Provide technical leadership, documentation, and mentorship to engineering and data science teams.
• Partner with stakeholders to translate requirements into scalable and secure solutions