Key Responsibilities:

• Design and implement scalable data architectures to support data storage, processing, and analytics.

• Design and implement data schemas within Snowflake to effectively support analytics, reporting needs.

• Establish and enforce data access roles and policies.

• Develop strategies to make data AI-ready, including data cleansing, transformation, and enrichment processes.

• Provide guidance and support for analytical development and modelling to enhance data visualization and reporting capabilities.

• Conduct performance tuning and optimization of data models to improve query efficiency and response times.

• Develop, maintain, and optimize ETL (Extract, Transform, Load) processes for Pacific Data Analytics Platform to ensure efficient data integration from various sources (Both internal and external datasets)

• Manage and optimize database / data warehouse systems such as snowflake ensuring high availability and performance.

• Analyze and tune database performance, identifying bottlenecks and implementing improvements to enhance query performance.

• Ensure data integrity, consistency, and accuracy through rigorous data quality checks and validations.

• Work closely with data engineers, application engineers, analysts, and other stakeholders to understand data needs and provide appropriate solutions.

• Leverage cloud technologies (mainly AWS) for data storage, processing, and analytics, ensuring cost-effectiveness and scalability.

• Document data processes, architectures, and workflows while establishing best practices for data management and engineering.

• Set up monitoring solutions to track data pipelines and database performance, ensuring timely maintenance and fault resolution.

• Ability to quickly analyze existing SQL code and make improvements to enhance performance, take advantage of new SQL features, close security gaps, and increase robustness and maintainability of the code.

• Implement data security measures and ensure compliance with relevant regulations regarding data protection and privacy.

• Provide guidance and mentorship to junior data engineers, fostering a culture of learning and continuous improvement.

Key Qualifications:

Experience : 15+ years of experience in Snowflake Solution Architect would be preferable.

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field with at least 10+ years of software development experience

• Expert knowledge in Database like Oracle, PostgreSQL, SQL Server (preferably cloud hosted), with strong programming experience in SQL .

• Competence in data preparation and/or ETL tools like Snaplogic or Azure Data Factory or AWS Glue or SSIS (preferably strong working experience in one or more) to build and maintain data pipelines and flows.

• Programming language experience in Python, shells scripts (bash/zsh, grep/sed/awk etc..).

• Deep knowledge of databases , stored procedures , optimizations of huge data

• In-depth knowledge of ingestion techniques, data cleaning, de-dupe, partitioning.

• Experience with building the infrastructure required for data ingestion and analytics

• Solid understanding of normalization and denormalization of data , database exception handling, transactions, profiling queries , performance counters, debugging, database & query optimization techniques

• Familiarity with SQL security techniques such as data encryption at the column level, Transparent Data Encryption (TDE), signed stored procedures, and assignment of user permissions

• Experience in understanding the source data from various platforms and mapping them into Entity Relationship Models (ER) for data integration and reporting

• Good understanding of Data Models, Data Architecture and Naming Conventions

• Knowledge of data visualization tools (e.g., Tableau, Power BI ) is a plus.

• Exposure to Source control like GIT, Azure DevOps

• Understanding of Agile methodologies (Scrum, Kanban)

• Preferably experience with NoSQL database to migrate data into other type of databases with real time replication.

• Experience with CI/CD automation tools

Personal Strengths:

v Must have completed the certifications on Snowpro Advanced : Architect

v Very good communication skills.

v Ability to easily fit into a distributed development team.

v Ability to manage timelines of multiple initiatives.

v Ability to articulate insights from the data and help business teams make decisions

v Able to work with ambiguous requirements, to seek clarity around uncertainty and to manage risks

v Ability to communicate complex concepts to non-data audiences