Data Architect- Snowflake

2 weeks ago

Noida, India 3Pillar Global Full time
Embark on an exciting journey into the realm of data analytics with 3Pillar We extend an invitation for you to join our team and gear up for a thrilling adventure. As a Snowflake Data Architect you will be at the heart of the organization and support our clients to take control of their data and get value out of it by defining a reference architecture for our customers. This means that you will work closely with business leaders and information management teams to define and implement a roadmap on data management, business intelligence or analytics solutions..If your passion for data analytics solutions that make a real-world impact, consider this your pass to the captivating world of Data Science and Engineering Relevant Experience: 10+ years in Data PracticeMust have Skills: Snowflake, Data Architecture, Engineering, Governance, and Cloud services

Responsibilities

Lead the architecture and design of scalable, secure, and high-performing data solutions using Snowflake . Design and implement robust data models (star, snowflake, normalized, and denormalized) for reporting and analytics use cases. Develop and manage ETL/ELT pipelines using tools like Informatica, dbt, Talend, Matillion, or custom scripts . Optimize Snowflake performance through clustering, caching, resource monitors, and query tuning. Integrate Snowflake with diverse data sources including cloud storage (S3, Azure Blob), APIs, RDBMS, and real-time systems . Implement security best practices including data masking, access controls, and role-based access (RBAC) . Collaborate with stakeholders including data engineers, analysts, BI developers, and business users to understand requirements and provide technical guidance. Define and enforce data governance, data quality, and metadata management policies. Stay updated on emerging Snowflake features and industry trends to continuously improve architecture and processes. Coordinate with data scientists, analysts, and other stakeholders for data-related needs Help the Data Science & Analytics Practice grow by mentoring junior Practice members, leading initiatives, leading Data Practice Offerings Provide thought leadership by representing the Practice / Organization on internal / external platforms

Qualification:

Translate business requirements into data requests, reports and dashboards. Strong Database & modeling concepts with exposure to SQL & NoSQL Databases Strong data architecture patterns & principles, ability to design secure & scalable data lakes, data warehouse, data hubs, and other event-driven architectures Expertise in designing and writing ETL processes. Strong experience to Snowflake, and its components. Knowledge of Master Data management and related tools Strong exposure to data security and privacy regulations (GDPR, HIPAA) and best practices Skilled in ensuring data accuracy, consistency, and quality Experience of AWS services viz., AWS S3, Redshift, Lambda, DynamoDB, EMR, Glue, Lake formation, Athena, Quicksight, RDS, Kinesis, Managed Kafka, API Gateway, CloudWatch AWS S3, Redshift, Lambda, DynamoDB, EMR, Glue, Lake formation, Athena, Quicksight, RDS, Kinesis, Managed Kafka, Elasticsearch and Elastic Cache, API Gateway, CloudWatch Ability to implement data validation processes and establish data quality standards. Experience in Linux, and scripting Proficiency in data visualization tools like Tableau, Power BI or similar to create meaningful insights Additional Experience Desired: Experience working with data ingestion tools such as Fivetran, stitch, or Matillion AWS IOT solutions Apache NiFi, Talend, Informatica Knowledge of GCP Data services Exposure to AI / ML technologies

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