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If you are a Principal Consultant Tech Lead Position looking for excitement, challenge and stability in your work, then you would be glad to come across this page.

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Role: Principal Consultant Tech Lead

Location: NYC

Exp: 8+ Years

Requirements

Job Description: As a Principal Consultant Tech Lead, you will work with our clients to architect, design, and implement complex cloud and big data solutions. You will play a key role in developing data solutions using Snowflake, MS Fabric/OneLake, and other cloud technologies, ensuring high-performance, scalable, and secure data architectures.

Key Responsibilities:

Architect and Design: Develop and implement complex data solutions on Snowflake, including Data Sharing, Data Exchange, and Snowflake Internal Marketplace. Design scalable data models, data ingestion pipelines, and data transformation workflows.
Big Data Implementation: Build and implement Big Data principles and solutions on MS Fabric/OneLake.
Integration: Integrate Snowflake data platform with non-Snowflake clients and vice versa.
Data Structuring: Design data structures and optimize data organization within Snowflake for efficient querying and analysis.
Data Warehouse Modeling: Implement standard Data Warehouse models using Star Schema and Data Vault practices, supporting SCD-2 scenarios.
ETL/ELT Processes: Develop and manage ETL/ELT pipelines to integrate data from various sources into Snowflake and MS Fabric/OneLake, ensuring high data quality and consistency.
Performance Optimization: Monitor and optimize Snowflake queries, data loading strategies, and warehouse configurations to maximize system performance.
Security & Compliance: Implement data security measures within Snowflake to protect sensitive information, adhering to industry regulations and compliance standards.
DevOps & CI/CD: Set up and maintain continuous integration and continuous delivery (CI/CD) pipelines for Snowflake applications.
Collaboration & Communication: Work closely with cross-functional teams such as business analysts, product managers, and data scientists to understand data requirements and translate them into technical solutions.
Leadership & Mentorship: Lead and mentor a team of engineers, providing technical guidance, conducting code reviews, and offering problem-solving support.

Required Qualifications:

Extensive experience in designing, building, and implementing architectural strategies.
In-depth understanding of Snowflake internals and ability to perform custom configurations.
Experience with cloud-native application development and Big Data principles, particularly in AWS and Azure environments.
Strong knowledge of open data formats like Iceberg and Delta, particularly for investment banking use cases.
Experience in building Data Mesh and Data Products, including publishing/consuming data products on marketplaces using Snowflake, AWS, or Azure.
Hands-on experience with AWS services such as S3, Glue, Lambda, Snowflake on AWS, Redshift, and Glue Catalog.
Strong understanding of Azure technologies, including ADLS 2.0, ADF 2.0, and Synapse Analytics.
Proficiency in programming languages such as Python, PySpark, and Java.
Experience with notebook development using VSCode and implementing performance improvement practices.
Excellent communication and collaboration skills for working with diverse teams.
Proven ability to lead technical projects and mentor junior engineers.

Preferred Skills:

Certification in Snowflake, AWS, or Azure.
Experience working in investment banking or financial services domains.
Knowledge of AI/ML data processing workflows.

Benefits

Visit us at http://alignity.io/careers. Alignity Solutions is an Equal Opportunity Employer, M/F/V/D.

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