Principal Solutions Architect - (Data Engineering) (New York City)
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Salary: $170,000 - $225,000 per year A bit about us: We are a leading modern data consultancy helping enterprise clients solve their toughest data challenges through cloud, AI, analytics, and engineering solutions. Our partnerships span top platforms including Snowflake, Amazon Web Services, Microsoft Azure, Google Cloud, Databricks, Fivetran, and dbt Labs. Our team operates in a remote-first environment across the United States, Latin America, and India. We hire top performers who thrive in a culture built on ownership, trust, innovation, and autonomy. Recognized as an industry leader with multiple partner awards, hundreds of advanced certifications, and a reputation for delivering measurable client outcomes. Why join us?
- Competitive Compensation: $170,000 – $225,000 base salary + Bonus
- Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide
- Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities
- Own strategic relationships and help expand enterprise accounts
- Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more
- Award-Winning Culture: Collaborative, inclusive, and committed to professional development
- Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation
- Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks
Client Engagement & Growth
- Build executive and stakeholder relationships within key accounts
- Understand long-term business priorities and create technical roadmaps
- Identify expansion opportunities where additional services or solutions add value
- Partner with leadership and sales teams to grow strategic accounts
- Lead responses to RFPs, RFIs, proposals, and solution presentations
- Develop compelling business cases and technical value propositions
- Architect end-to-end modern data solutions for enterprise clients
- Lead discovery sessions, assessments, proofs of concept, and solution design
- Guide implementations with focus on scalability, security, and performance
- Mentor engineers and architects across delivery teams
- Translate complex business problems into practical technical solutions
- 8+ years in Solutions Architecture, Data Engineering, or similar client-facing technical roles
- Experience in pre-sales, post-sales, consulting, customer success engineering, or account growth
- Strong hands-on experience with cloud data platforms such as Snowflake, Databricks, Amazon Web Services, Microsoft Azure, or Google Cloud
- Strong coding skills in Python, Java, and/or Scala
- Advanced SQL optimization and data modeling skills
- Experience presenting to technical and business stakeholders
- Ability to lead technical documentation, roadmaps, and architecture artifacts
- Bachelor’s degree in Computer Science or related field
- Experience with Kafka, Spark, Airflow, dbt, Fivetran, Matillion, NiFi
- Experience with streaming, lakehouse, medallion, or enterprise migration initiatives
- Prior success expanding accounts or managing strategic customers
- Cloud certifications or advanced platform credentials
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