About The Position

Software Guidance & Assistance, Inc., (SGA), is searching for a Sr. Technical Analyst – Data Products / Data Lakehouse Support for a contract assignment with one of our premier Financial clients in San Francisco, CA. This is a hands-on technical role, not managerial or architectural. The role involves deep-dive troubleshooting and technical analysis on complex integrated systems, diagnosing root causes, identifying solutions, and supporting remediation activities. The analyst will provide primary technical support to end users for issues related to software, data quality, data processing, or communication failures. Responsibilities also include monitoring application, production, and implementation support, including new releases. The role requires consulting on testing strategies, documenting findings, and managing response coordination. Maintaining project/application documentation such as scope, requirements, schedules, and related artifacts is essential. Identifying areas for process improvement and escalating recommendations to leadership, as well as coordinating information flow between business owners and development teams, are key functions. The analyst will support backlog development/refinement and Agile delivery activities, facilitate work sessions, functional reviews, and application development task alignment. Recording support interactions in call-logging tools for traceability/productivity tracking and validating proposed technical approaches to problem logs and advising on remediation steps are also part of the role. The position involves participating in stakeholder engagement, solution design evaluation, and distributed team collaboration. A willingness to participate in periodic on-call coverage is required.

Requirements

  • Databricks — Lakehouse support, Data Quality Framework, dashboard development
  • R / SparklyR — Data analysis work
  • PySpark / Python — Scripting, automation, performance tuning, debugging
  • Starburst — Data analyst experience, or Starburst developer/support engineer level
  • Collibra — Developer or support engineering background
  • Alteryx — Development or platform support engineering exposure
  • Tableau — Development experience with performance tuning/debug capability
  • Immuta — Security analyst experience including RBAC + ABAC controls
  • Databricks + (R or SparklyR) OR (PySpark or Python)
  • Databricks + (Starburst OR Tableau)
  • Databricks + (Collibra OR Alteryx)

Responsibilities

  • Serve in a hands-on technical role, not managerial or architectural.
  • Perform deep-dive troubleshooting and technical analysis on complex integrated systems.
  • Diagnose root causes, identify solutions, and support remediation activities.
  • Provide primary technical support to end users for issues related to software, data quality, data processing, or communication failures.
  • Monitor application, production, and implementation support — including new releases.
  • Consult on testing strategies, document findings, and manage response coordination.
  • Maintain project/application documentation: scope, requirements, schedules, and related artifacts.
  • Identify areas for process improvement and escalate recommendations to leadership.
  • Coordinate information flow between business owners and development teams.
  • Support backlog development/refinement and Agile delivery activities.
  • Facilitate work sessions, functional reviews, and application development task alignment.
  • Record support interactions in call-logging tools for traceability/productivity tracking.
  • Validate proposed technical approaches to problem logs and advise on remediation steps.
  • Participate in stakeholder engagement, solution design evaluation, and distributed team collaboration.
  • Willingness to participate in periodic on-call coverage.
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