Senior Solutions Consultant
$140 - $150 per hourLinks Technology Solutions Inc
Senior Solutions Consultant
Location: MUST be able to work ONSITE in New York City, NY
Experience Level: Senior (9+ Years Combined)
Pay rate: $140/hr – $150/hr
Contract Duration: Long term contract
Position Overview
Our client in the trading industry is looking for a Senior Solutions Consultant who bridges the gap between high-level business strategy and deep technical execution. This role is designed for a data professional with a proven track record in consulting who can navigate complex client environments and deliver high-impact data engineering solutions using the Databricks ecosystem.
Key Responsibilities
- Strategic Advisory: Leverage 5+ years of consulting experience to translate client business requirements into robust technical architectures.
- Pipeline Engineering: Architect and implement end-to-end data processing workflows using the Databricks Multi-hop (Medallion) Architecture.
- Performance Tuning: Apply advanced optimization techniques to Spark jobs to ensure cost-effectiveness and high throughput.
- Platform Integration: Guide clients in transitioning from legacy systems (Hadoop, Flink, Presto) to modern, unified data platforms.
- Technical Leadership: Act as the subject matter expert on Databricks product features, ensuring best practices in coding, security, and data governance.
Required Qualifications
- Consulting Expertise: 5+ years of experience in a professional services or client-facing consulting role.
- Data Engineering Depth: 4+ years of hands-on experience in Data Engineering, including the delivery of at least 2–3 major Databricks projects .
- Certifications: Completion of the Data Engineering Professional certification and all required coursework.
- Big Data Engine Mastery: Strong background in Apache Spark , with additional experience in Hadoop, Flink, Presto, or similar distributed engines.
- Specialized Training: Must have completed the following Databricks-specific tracks:
- Apache Spark Programming with Databricks
- Data Engineering with Databricks
- Optimizing Apache Spark™ on Databricks
- Architectural Knowledge: Deep familiarity with the Multi-hop (Bronze/Silver/Gold) pipeline architecture and Delta Lake.
- Experience with application development and Dataricks Apps
- Comfort working in Linux environments
- Background in financial markets, such as market making, trading, or related domains
- Able to work independently, prioritize effectively, and proactively identify opportunities for improvement
- Comfortable operating in a loosely defined scope, where they are expected not only to execute tasks but also help define priorities and drive work forward.
Vacancy posted 1 day ago
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