Automation Test Lead – Data & Platform Engineering
About this role
This is a remote position.
- Test Automation Architecture & Strategy: Own a scalable, modular, metadata-driven framework covering data pipelines (batch/streaming), APIs/backend services, and end-to-end data product validation; enable plug-and-play components, parallel execution, environment isolation, deterministic runs
- Data Testing Framework Engineering: SQL-based assertions/reconciliation, schema validation, data contracts, lineage/freshness validation, config-driven test definitions (YAML/JSON)
- Destructive Testing: Schema drift, backward incompatibility, late-arriving data, partial failures, duplicate/missing/out-of-order events, stress, concurrency, retries, DLQ handling, backpressure
- ETL/Streaming Validation at Scale: Row/aggregate/hash-based reconciliation, incremental/backfill validation, delivery semantics validation, window/time-based correctness
- Data Quality & Observability: Integrate/extend Great Expectations or Soda; custom validations for accuracy, completeness, uniqueness, timeliness; quality dashboards
- CI/CD & DataOps Enforcement: Pre-merge gates, release blockers, selective/parallel test execution, GitHub Actions/Jenkins integration
- Test Data Management: Synthetic data generation, masking/anonymization, deterministic datasets, edge case simulation
- Performance & Reliability Testing: Pipeline/query benchmarks, concurrency/stress testing, data skew analysis, cost/time optimization
- Security & Compliance: PII/PHI exposure checks, encryption/access control, retention, audit requirements; support GxP/SOX/ISO frameworks
- Cross-Functional Quality Leadership: Work with data engineers, platform teams, architects; mentor engineers
- Incident Analysis & Prevention: Root-cause analysis of production data issues, reduce flaky tests
Requirements
- Strong Python (test frameworks, libraries, CLI tools); advanced SQL
- Hands-on DBT, Airflow, Snowflake or similar; ETL/ELT and data modeling
- Great Expectations/Soda; lineage and catalog systems
- Kafka/Kinesis testing; delivery semantics
- Git workflows; CI/CD (Jenkins, GitHub Actions)
- AWS; IaC (Terraform/CloudFormation)
- API contract testing (PACT);
- basic UI automation; data mesh/data product exposure;
- Prometheus/Grafana; regulated domain experience (healthcare, life sciences, finance)
Company at a glance
Virtusa is a global product and platform engineering services company that makes experiences better with technology. We help organizations grow faster, more profitably, and more sustainably by reimagining enterprises through domain-driven solutions. We combine strategy, design, and engineering, backed by unmatched expertise at the intersection of industry, business, and technology to generate real-world business impact for clients.
Headquartered in Massachusetts with global delivery centers, Virtusa provides a broad range of services, solutions, and assets, including strategy and design, AI advisory and services, digital engineering, data and analytics, digital assurance, cloud and security, cx transformation and managed services across industries such as financial services, healthcare, communications, media, entertainment, travel, manufacturing, and technology.
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