Note: The job is a remote job and is open to candidates in USA. Datasite is a global center for facilitating economic value creation for companies, and they are seeking a Data Operations Engineer. This role involves owning the full lifecycle of partner data, ensuring data integrity and reliability while collaborating with various teams to enhance data workflows and solutions.
Responsibilities
- Guide data architecture decisions that incorporate AI-augmented capabilities into ingestion, transformation, and reconciliation workflows for partner integrations
- Partner with Product, Engineering, and partner teams to develop flexible data roadmaps aligned to Datasite strategy while adapting to fast-evolving partner data needs
- Drive pipeline improvements that scale across diverse partner data formats, reduce operational overhead, and improve reliability of SLA-bound data products
- Maintain adaptable data contracts and schema strategies, enabling rapid onboarding of new partners in uncertain, high-velocity environments
- Identify and drive cross-platform improvements (schema registries, validation tooling, data contracts, lineage tracking) that enhance partner and developer experiences
- Collaborate across Engineering, Product, and partner teams to deliver AI-first, integration-ready data solutions
- Communicate complex data concepts clearly, translating pipeline design trade-offs and SLA commitments for diverse stakeholders
- Provide technical guidance that ensures alignment, simplicity, and consistency across data flows and partner integrations
- Evaluate trade-offs across freshness, accuracy, latency, and cost, especially in partner-driven and AI-augmented data workflows
- Simplify pipelines and drive down data debt while supporting rapid experimentation and onboarding of new partners
- Own ambiguous data challenges — mismatched schemas, silent failures, partial loads, reconciliation gaps — and drive them to resolution
- Apply strong diagnostics to identify root causes of data discrepancies and deliver resilient, auditable solutions
- Mentor engineers and analytics contributors through coaching and feedback, including adoption of modern and AI-augmented data practices
- Support team growth by promoting continuous learning, experimentation, and adaptability in data engineering methods
- Foster a culture of psychological safety, collaboration, and shared ownership of data quality
- Help raise the bar in hiring, ensuring alignment with Datasite's technical and cultural expectations
- Own end-to-end design and delivery of ingestion pipelines, transformation layers, reconciliation processes, and partner-facing data products
- Build pipelines with strong observability, alerting, and self-healing characteristics — so issues are identified and, where possible, remediated before they become partner-visible
- Track progress, manage risk, and adapt plans while maintaining a bias for action and high-quality execution
- Ensure new partnerships are delivered with care, reliability, and ingenuity, balancing speed with long-term data integrity
Skills
- Strong experience designing and operating data pipelines with defined latency, freshness, and accuracy SLAs
- Expert SQL skills and proven ability to work with large, complex datasets across diverse partner schemas
- Hands-on experience with modern data tooling such as Snowflake, dbt, Airflow, and schema registries
- Practical, in-the-workflow use of agentic tooling to accelerate schema mapping, anomaly detection, data profiling, and pipeline debugging
- Track record of building monitoring, alerting, runbooks, and reconciliation processes for systems with external commitments
- Ability to ramp quickly on new partner ecosystems, data formats, and domains
- Proven success leading work in ambiguous, fast-moving environments
- Excellent collaboration, communication, and cross-team influence
Benefits
- Bonuses, commissions, or overtime if applicable
- Health insurance (medical, dental, vision)
- A retirement savings plan
- Paid time off
- Other employee benefits
Company Overview
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