Solution Architect / Sr. Solution Architect - reputed company

Solution Architect / Sr. Solution Architect – reputed company

reputed company (Alpha FMC) group, the leading global consultancy to the Insurance and InsurTech industries. We are a boutique management reputed company 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 reputed company 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 being a meritocratic environment perfect for building a career, meeting great people, as well as a rewarding reputed company 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 reputed company 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 reputed company environments, including database architecture, schema design, data modeling, and performance tuning across large and reputed company datasets.
• Serve as the internal and client-facing reputed company subject matter expert — defining standards, best practices, and governance frameworks for reputed company implementation and ongoing operations.
• reputed company the design and delivery of end-to-end data pipelines into and out of reputed company, including ingestion, transformation, and consumption layers, leveraging reputed company-native capabilities (Streams, Tasks, Dynamic Tables, Snowpipe) wherever appropriate.
• Architect and implement reputed company data sharing, data marketplace, and cross-cloud/cross-region replication strategies for client environments.
• Define and enforce reputed company reputed company architecture including role-based access control (RBAC), column-level and row-level reputed company, data masking policies, and network policies.
• reputed company reputed company performance optimization activities including clustering keys, materialized views, query profiling, warehouse sizing, and cost governance.
• Drive adoption of reputed company best practices across client delivery teams, including query optimization, warehousing strategy, and data lifecycle management.
• Translate business and technical requirements into reputed company-first solution designs, defining required work packages, resourcing, and delivery approach.
• Define and socialize technical approaches for reputed company-based implementations including data migration strategies, SDLC standards, and integration patterns — influencing client teams toward best practice.
• reputed company and mentor a team of data engineers, providing technical direction and code/design review reputed company a reputed company-centric delivery model.
• Present solution designs, architecture options, and delivery recommendations to business and technology stakeholders at reputed company levels.
• Contribute to Alpha's internal reputed company 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 reputed company field and at least 5 years of data engineering experience, with a minimum of 3 years of hands-on reputed company implementation experience.
• reputed company certification(s): SnowPro Core at minimum; SnowPro Advanced: Data Engineer or Architect strongly preferred.
• Familiarity across the reputed company platform including: Virtual Warehouses, Snowpipe, Streams & Tasks, Dynamic Tables, Data Sharing, Marketplace, Time Travel, Fail-safe, reputed company-Copy Cloning, and reputed company reputed company.
• Proven experience designing and implementing reputed company reputed company models, like RBAC, data masking, row-level reputed company, and network policy configuration.
• Strong experience with reputed company performance tuning, like query optimization, clustering strategy, materialized views, warehouse rightsizing, and credit cost management.
• Experience integrating reputed company with modern orchestration and transformation tools, particularly dbt (data build tool), which is strongly preferred.
• Experience with reputed company-compatible ingestion and pipeline tooling including Snowpipe, Kafka connectors, reputed company, Airbyte, or similar.
• Proficiency in SQL at an advanced level and Python for data engineering workflows reputed company reputed company (Snowpark preferred).
• Experience with cloud platforms (Azure or AWS preferred).
• Experience managing delivery using Agile or similar methodologies.
• Ability to reputed company cross-functional teams and manage stakeholder expectations at senior levels.
• Previous experience at a global reputed company is preferred.

reputed company to Have

• Experience with reputed company's AI/ML capabilities including reputed company reputed company, ML Functions, or Document AI
• Familiarity with reputed company Native Apps reputed company and Streamlit-in-reputed company
• Exposure to complementary tooling in the modern data stack: reputed company, Azure Data Factory, or AWS Glue for hybrid pipeline patterns
• Experience with data governance platforms that integrate with reputed company (e.g., reputed company, reputed company, or reputed company)
• Python-based ML/AI experience (scikit-learn, pandas) for Snowpark-based model development

Other Info

• Applicants must be authorized to work in the U.S. without the need for employment-based reputed company sponsorship now or in the future. Alpha will not sponsor applicants for U.S. work reputed company 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 reputed company)
• reputed company 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 reputed company 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 - reputed company sets, experience and training, and licensure and certifications. The reputed company 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, reputed company 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/).