Snowflake Architect

Ness•New York, NY

56d•$150,000 - $160,000

About The Position

Ness is a full lifecycle digital engineering firm offering digital advisory through scaled engineering services. Combining our core competence in engineering with the latest in digital strategy and technology, we seamlessly manage Digital Transformation journeys from strategy through execution to help businesses thrive in the digital economy. As your tech partner, we help engineer your company's future with cloud and data. For more information, visit www.ness.com We are problem-solvers, architects, strategists, implementors, and lifelong learners. We collaborate with each other and with our clients to help them meet their short- and long-term technology goals. Our culture is open, transparent, challenging, and fun. We hire smart, self-starters who thrive in an open-ended environment to figure out what needs to be done and take ownership in delivering quality results Snowflake Architect Job Description: We are looking for an inspiring and forward-thinking Snowflake Architect to craft, evolve, and champion our enterprise data platform. You will play a pivotal role in empowering smarter decisions, accelerating innovation, and enabling AI-driven opportunities across the organization. In this high-impact role, you will set the vision and lead the delivery of a modern, scalable, and trusted data architecture that not only meets today's business needs but positions us for tomorrow's breakthroughs. Your expertise will help teams unlock the full value of data - turning it into a competitive advantage.

Requirements

Proven experience in data architecture or engineering leadership, delivering enterprise-scale solutions.
Expertise in cloud-native data platforms (e.g., Snowflake, Databricks, BigQuery, Amazon Redshift).
Advanced data modeling skills (conceptual, logical, physical) across relational, NoSQL, and event-driven systems.
Strong knowledge of data governance platforms (e.g., Collibra, Alation, Informatica) and industry best practices.
Understanding of AI/ML data lifecycle management and operationalization.
Exceptional communication skills with the ability to inspire, influence, and align diverse stakeholders.

Responsibilities

Definition of Data Policies and Standards
Selection of Data Technical Standards, Adoption of new - and decommissioning of old - Standards and Versions
Participate in the Enterprise Project Intake function prior to Tollgate 1
Opt-in to Projects requiring Data Consumption, Data Architecture or Data Technology expertise
Shape and deliver an enterprise-wide data architecture strategy that fuels growth and innovation.
Define reference architectures, canonical data models, and integration patterns to create a consistent, reliable, and agile data foundation.
Curate and integrate cutting-edge modern data stack technologies to speed delivery and maximize value.
Design, deliver, and optimize data pipelines, APIs, and real-time streaming frameworks that power business-critical insights.
Embed data quality, lineage, and metadata management into every solution for trusted and transparent data.
Prepare and enrich enterprise data to unlock the potential of AI, ML, and predictive analytics.
Act as a strategic advisor to executives, connecting technical architecture with measurable business outcomes.
Work hand-in-hand with cross-functional teams to embed data-driven thinking into every decision.
Mentor colleagues, champion best practices, and foster an inclusive, high-energy culture of data excellence.