BI Architect

Delivery and people leadership - SLAs, governance cadence, staffing, escalations Automation testing - Playwright/Selenium/TOSCA, CI/CD, API validation Snowflake - SQL validation, ETL/pipeline reconciliation Power BI - dashboard and report accuracy validation tied back to Snowflake data Sustainability ETRM domain - trade/position/settlement concepts plus emissions and ESG reporting workflows Delivery & People Leadership Run a QA managed services organization covering functional testing, automation, and data validation practice areas. Own commitments and SLAs, staffing and capacity planning, budgets, and quality standards for the account. Run the governance cadence: weekly project reviews with leads, monthly quality/metrics reviews, and quarterly business reviews with client stakeholders. Track defect leakage, test coverage, automation pass rates, and cycle time; act on adverse trends before they become client escalations. Own escalations end-to-end, from first signal through root cause and corrective action plan. Forecast staffing demand a quarter ahead and reallocate people across projects as priorities shift. Support presales and scope expansion with effort estimates, staffing models, and test approach. Automation & Test Strategy Set technical direction for automation and continuous testing across the portfolio. Own test strategy, test planning, test case design, test data setup, defect management, and configuration management. Maintain and grow automated regression coverage using tools such as Playwright, Selenium, and/or TOSCA. Run performance, load, and non-functional testing (e.g., JMeter) where required. Validate REST/SOAP APIs and integrate automated checks into CI/CD pipelines (Jenkins, GitHub Actions). Manage source control, branching, and pull request workflows in GitHub. Work with AWS-hosted environments for test execution and data validation (e.g., S3, EC2, Lambda, or equivalent services depending on the platform's architecture). Data Validation: Snowflake & Power BI Write and review SQL-based validation queries against Snowflake to confirm data accuracy, completeness, and consistency across source and downstream systems. Validate ETL/ELT pipelines feeding Snowflake, including reconciliation between source systems and the warehouse. Review and validate Power BI reports and dashboards for data accuracy, ensuring metrics tie back to underlying Snowflake data. Design and enforce value-level and null checks across data pipelines, not just field-existence checks. Domain: Sustainability & ETRM Apply working knowledge of Energy Trading and Risk Management (ETRM) concepts: trade capture, positions, settlements, and risk reporting. Understand sustainability and emissions-reporting workflows (e.g., emissions monitoring, carbon accounting, ESG data flows) well enough to define acceptance criteria and test coverage without hand-holding from subject matter experts. Translate business and regulatory reporting requirements into test scenarios that catch real data and calculation errors. AI-Assisted Testing Set standards for how AI coding/testing tools are used in delivery: what can be AI-generated, what always requires human review, and what stays off the tools entirely. Own quality checks on AI-generated test artifacts to ensure they validate actual business logic and data correctness.

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