Full-time · senior
Senior Solutions Engineer, Data Platform
Halcyon Data Systemshttps://halcyondata.example.com
Location
New York, NY
Work mode
Hybrid
Territory
US Northeast
Compensation
$175,000 – $215,000 · Base salary; plus variable compensation and equity
Lead technical evaluations of our lakehouse and governance platform for data and analytics leaders at large enterprises.
About the role
About Halcyon Data Systems Halcyon Data Systems builds a unified lakehouse, analytics, and data governance platform used by global banks, insurers, and life sciences companies. Our customers use Halcyon to consolidate fragmented data estates, accelerate analytics, and meet regulatory requirements without slowing down their teams.
About the role As a Senior Solutions Engineer, you will partner with enterprise account executives in the Northeast to win new logos and expand existing accounts. You will engage data engineers, architects, and chief data officers, lead hands-on technical evaluations, and design reference architectures that show how Halcyon fits into complex, regulated environments.
What success looks like Success in this role means a consistent track record of technical wins, evaluations that close on schedule, and customers who go live quickly because the architecture was right from day one.
Compensation The base salary range for this position is $175,000 to $215,000. Base salary; plus variable compensation and equity. Final offers are based on experience, skills, and location.
Benefits Premium medical, dental, and vision; 401(k) with 5% match; generous equity; flexible PTO; annual company offsite; $3,000 learning and conference budget; commuter benefits.
Halcyon Data Systems is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. We provide reasonable accommodations for candidates with disabilities throughout the interview process.
Responsibilities
- Lead technical discovery with data engineering, analytics, and governance teams
- Design target-state architectures spanning ingestion, storage, transformation, and BI
- Run hands-on proofs of concept using customer data, with defined success criteria
- Deliver technical presentations and workshops for architects and CDO organizations
- Address security, governance, and compliance requirements, including lineage and access controls
- Collaborate with partners and system integrators on joint solutions
- Build reusable demo assets, notebooks, and benchmark materials
- Represent the voice of the customer to product and engineering
Requirements
- 6+ years in solutions engineering, data engineering, or data architecture
- Strong SQL and Python skills
- experience with Spark or a comparable distributed processing engine
- Experience with cloud data platforms (Databricks, Snowflake, BigQuery, Redshift, or Synapse)
- Understanding of data modeling, ETL/ELT, streaming, and orchestration tools (Airflow, dbt, Kafka)
- Knowledge of data governance concepts: catalogs, lineage, data quality, and access control
- Experience in regulated industries such as financial services or life sciences
- Excellent communication skills with both technical practitioners and executives
- Education: Bachelor's degree in Computer Science, Engineering, Mathematics, or related field
- Master's degree preferred
- Certifications: at least one cloud data certification (Databricks Data Engineer Professional, SnowPro Core, Google Professional Data Engineer, or AWS Data Analytics) required
- Preferred: AWS or Azure Solutions Architect certification
Context
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Sign in to express interestQuestions? careers@halcyondata.example.com
Posted October 15, 2026

