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Solution Architect / Sr. Solution Architect - SnowflakeAlpha Financial Markets Consulting • New York, New York, United States
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Solution Architect / Sr. Solution Architect - Snowflake

Alpha Financial Markets Consulting
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Jetzt Bewerben

Über

Solution Architect / Sr. Solution Architect - Snowflake Remote - United States
Solution Architect / Sr. Solution Architect – Snowflake
Alpha Financial Markets Consulting (Alpha FMC) group, the leading global consultancy to the Insurance and InsurTech industries. We are a boutique management consulting firm that offers the world’s best Insurance and Financial Services groups a competitive edge through our expertise and industry insight. Our global Insurance Division is of a uniquely high calibre and by focusing on Insurance alone we build deep knowledge and experience within our industry.
To clients, we are a trusted partner for creating programs, however, we are so much more to our employees. At Alpha, we pride ourselves in a meritocratic environment perfect for building a career, meeting great people, as well as a rewarding place to work.
About Alpha Insurance Technology Services As technology specialists, Alpha Insurance Technology Services:
Provide knowledgeable resources who can implement, configure and support the major platforms used by our clients.
Form a range of partnerships with key vendors to position itself as a preferred implementation partner for major business applications.
Assist clients with their journey to the next generation of cloud-based architectures.
Help clients to define and implement their future state data architectures.
Help clients with bespoke development that complements their core application architecture.
Provide knowledgeable and client-focused support for client’s major applications, including upgrades, migrations and business-as-usual issue management.
Responsibilities
Design, build, and optimize enterprise-scale Snowflake environments, including database architecture, schema design, data modeling, and performance tuning across large and complex datasets.
Serve as the internal and client-facing Snowflake subject matter expert — defining standards, best practices, and governance frameworks for Snowflake implementation and ongoing operations.
Lead the design and delivery of end-to-end data pipelines into and out of Snowflake, including ingestion, transformation, and consumption layers, leveraging Snowflake-native capabilities (Streams, Tasks, Dynamic Tables, Snowpipe) wherever appropriate.
Architect and implement Snowflake data sharing, data marketplace, and cross-cloud/cross-region replication strategies for client environments.
Define and enforce Snowflake security architecture including role-based access control (RBAC), column-level and row-level security, data masking policies, and network policies.
Lead Snowflake performance optimization activities including clustering keys, materialized views, query profiling, warehouse sizing, and cost governance.
Drive adoption of Snowflake best practices across client delivery teams, including query optimization, warehousing strategy, and data lifecycle management.
Translate business and technical requirements into Snowflake-first solution designs, defining required work packages, resourcing, and delivery approach.
Define and socialize technical approaches for Snowflake-based implementations including data migration strategies, SDLC standards, and integration patterns — influencing client teams toward best practice.
Lead and mentor a team of data engineers, providing technical direction and code/design review within a Snowflake-centric delivery model.
Present solution designs, architecture options, and delivery recommendations to business and technology stakeholders at all levels.
Contribute to Alpha's internal Snowflake IP, accelerators, and proposition development.
Participate in project team meetings and communicate effectively across internal and client peers, architects, analysts, project managers, and technology teams.
Requirements
Bachelor's degree in a related field and at least 5 years of data engineering experience, with a minimum of 3 years of hands‑on Snowflake implementation experience.
Snowflake certification(s): SnowPro Core at minimum; SnowPro Advanced: Data Engineer or Architect strongly preferred.
Familiarity across the Snowflake platform including: Virtual Warehouses, Snowpipe, Streams & Tasks, Dynamic Tables, Data Sharing, Marketplace, Time Travel, Fail-safe, Zero-Copy Cloning, and Snowflake Cortex.
Proven experience designing and implementing Snowflake security models, like RBAC, data masking, row‑level security, and network policy configuration.
Strong experience with Snowflake performance tuning, like query optimization, clustering strategy, materialized views, warehouse rightsizing, and credit cost management.
Experience integrating Snowflake with modern orchestration and transformation tools, particularly dbt (data build tool), which is strongly preferred.
Experience with Snowflake‑compatible ingestion and pipeline tooling including Snowpipe, Kafka connectors, Fivetran, Airbyte, or similar.
Proficiency in SQL at an advanced level and Python for data engineering workflows within Snowflake (Snowpark preferred).
Experience with cloud platforms (Azure or AWS preferred).
Experience managing delivery using Agile or similar methodologies.
Ability to lead cross‑functional teams and manage stakeholder expectations at senior levels.
Previous experience at a global consulting firm is preferred.
Nice to Have
Experience with Snowflake's AI/ML capabilities including Snowflake Cortex, ML Functions, or Document AI
Familiarity with Snowflake Native Apps framework and Streamlit-in-Snowflake
Exposure to complementary tooling in the modern data stack: Databricks, Azure Data Factory, or AWS Glue for hybrid pipeline patterns
Experience with data governance platforms that integrate with Snowflake (e.g., Alation, Collibra, or Atlan)
Python‑based ML/AI experience (scikit‑learn, pandas) for Snowpark‑based model development
Other Information
Applicants must be authorized to work in the U.S. without the need for employment‑based visa sponsorship now or in the future. Alpha will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H‑1B, L‑1, TN, O‑1, E‑3, H‑1B1, F‑1, J‑1, OPT, CPT or any other employment‑based visa)
All Alpha team members must pass
thorough background checks , including fraud prevention initiatives like physical location verifications.
Team members are expected to be available from 8:30am - 5:30pm EST, Monday - Friday.
Infrequent travel to client sites may be required.
Benefits / Additional Information
25 days of annual paid time off (accrued), in addition to paid holidays
5 days of paid training time for continuing education/professional certifications
Reimbursement for commuting, mobile phone, and home internet expenses
Supplemented medical, dental and vision coverage
401k matching
Compensation There are a wide range of factors that are considered in making compensation decisions including but not limited to - skill sets, experience and training, and licensure and certifications. The base salary range for this position is:
$124,000 to $160,000
and is subject to change based on salary benchmarking. In addition to this salary, employees would be eligible for both variable and non‑variable benefits.
Our Commitment to Inclusion At Alpha, diversity, equity, and inclusion are critical to our success. Our priorities show a focus on fostering an inclusive, equitable workplace where individuals are treated fairly regardless of gender or background. We welcome applications from disabled people and are committed to making our recruitment process and workplace accessible and inclusive for everyone.
Data Privacy Policy Full details around what data we hold, why we hold it and for how long are available in our recruitment privacy statement (https://alphafmc.com/privacy-policy/).
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  • New York, New York, United States

Sprachkenntnisse

  • English
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