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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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