Observability Engineer (Prometheus / Grafana / Datadog)

• Design and operate enterprise-grade observability platforms covering metrics, logs, traces, events, and synthetic monitoring.
• Architect Prometheus / Thanos / Mimir, Grafana, Loki, Tempo, OpenTelemetry, and Datadog deployments for high availability and scale.
• Develop standards for service instrumentation, including OpenTelemetry adoption, metric naming, label cardinality, and structured logging conventions.
• Define and enforce SLOs, SLIs, and error budgets, and build the dashboards and alerts that operationalize them.
• Build alerting strategies that minimize noise, surface actionable signals, and integrate cleanly with on-call workflows in PagerDuty, Opsgenie, or similar tools.
• Operate large-scale time-series and log storage platforms, balancing retention, query performance, and cost.
• Design distributed tracing pipelines and help teams use traces to diagnose latency and reliability issues.
• Develop self-service tooling, paved-road libraries, and templates that make adoption of observability standards easy for product teams.
• Drive cost management and label-cardinality discipline across the observability estate.
• Lead incident response readiness improvements through better dashboards, alerting hygiene, and post-incident analysis tooling.
• Partner with SRE and platform teams to integrate observability into deployment pipelines, canary analysis, and progressive delivery workflows.
• Evaluate and recommend observability vendors and open-source tools based on cost, capability, and operational maturity.
• Mentor engineering teams on observability fundamentals, debugging techniques, and SLO-driven operations.
• Maintain documentation, onboarding guides, and runbooks for the observability platform.

• Bachelor’s degree in Computer Science or a related field.
• Five or more years of experience in SRE, platform engineering, or observability roles.
• Deep hands-on experience with Prometheus, Grafana, and at least one major commercial observability platform such as Datadog, New Relic, or Splunk.
• Strong understanding of OpenTelemetry, distributed tracing, and structured logging.
• Proficiency in at least one general-purpose language such as Go, Python, or Java.
• Experience operating high-cardinality, high-throughput metrics and log pipelines.
• Strong understanding of SLOs, error budgets, and SRE principles.
• Experience integrating observability with CI/CD and incident management tooling.
• Solid grasp of Linux internals, networking, and container platforms.
• Excellent communication and collaboration skills.

• Experience with Thanos, Mimir, Cortex, Loki, or Tempo at scale.
• Contributions to OpenTelemetry or observability open-source projects.
• Familiarity with eBPF-based observability tooling.
• Experience driving observability cost optimization initiatives.
• Exposure to regulated environments with audit-grade logging requirements.

55. Data Platform Architect

• Define the target-state architecture of the enterprise data platform, including ingestion, storage, processing, and consumption layers.
• Establish standards for data modeling, schema evolution, partitioning, file formats, and storage organization.
• Architect lakehouse, warehouse, and streaming patterns leveraging technologies such as Snowflake, Databricks, BigQuery, Redshift, Iceberg, Delta Lake, or Hudi.
• Design end-to-end data pipelines that balance latency, cost, reliability, and maintainability across batch and streaming workloads.
• Lead the integration of governance, lineage, and catalog tools such as Collibra, Alation, Atlan, Unity Catalog, or DataHub.
• Define security architecture including row- and column-level controls, masking, encryption, and identity-aware access patterns.
• Partner with ML, BI, and product teams to ensure platform capabilities align with downstream consumption needs.
• Establish data contract and data product principles to drive ownership, quality, and decoupling between producers and consumers.
• Lead architecture reviews and provide guidance on pipeline and warehouse design proposals across teams.
• Drive cost optimization and capacity planning across the data platform estate.
• Design disaster recovery, multi-region, and high-availability strategies for critical data assets.
• Mentor data engineers and architects on platform standards and emerging best practices.
• Produce architecture artifacts including context diagrams, decision records, and reference patterns.
• Stay current with data platform research, vendor offerings, and open-source ecosystem developments.

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
• Eight or more years of experience in data engineering, with significant time in architecture roles.
• Deep expertise across at least two major data platforms such as Snowflake, Databricks, BigQuery, or Redshift.
• Strong understanding of lakehouse architectures, modern table formats, and streaming systems.
• Hands-on experience with Spark, Flink, or Kafka at production scale.
• Strong data modeling expertise across dimensional, normalized, and data-vault patterns.
• Experience implementing governance, lineage, and catalog capabilities.
• Solid grasp of cloud platforms, networking, identity, and cost optimization.
• Excellent communication, facilitation, and stakeholder management skills.
• Track record of leading large data platform initiatives across teams.

• Experience with data mesh or data product architectures.
• Familiarity with semantic layers such as dbt Semantic Layer, Cube, or LookML.
• Exposure to regulated industries with strict data residency or audit requirements.
• Cloud or platform certifications (Snowflake, Databricks, AWS, Azure, GCP).
• Public talks or writing on data architecture.

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.