Offer summary

Qualifications:

10+ years of experience in Data Practice., Strong expertise in Snowflake and data architecture principles., Proficient in SQL and NoSQL databases, with a solid understanding of data modeling., Knowledge of data security regulations and best practices, including GDPR and HIPAA..

Key responsibilities:

Lead the migration to Snowflake and design large data platforms.

Consult with stakeholders to propose and implement end-to-end data solutions.

Define tools and technologies for automated data pipelines and ETL processes.

Mentor junior team members and provide thought leadership in data practices.

Job description

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 Practice

Must have Skills: Snowflake, Data Architecture, Engineering, Governance, and Cloud services

Responsibilities

Assessments of existing data components, Performing POCs, Consulting to the stakeholders

Lead the migration to Snowflake

In a strong client-facing role, proposing, advocating, leading implementation of end to end solutions to an enterprise's data specific business problems, and taking care of data collection, extraction, integration, cleansing, enriching and data visualization.

Ability to design large data platforms to enable Data Engineers, Analysts & scientists

Strong exposure to different Data architectures, data lake & data warehouse, including migrations, rearchitect and platform modernization

Define tools & technologies to develop automated data pipelines, write ETL processes, develop dashboard & report and create insights

Continually reassess current state for alignment with architecture goals, best practices and business needs

DB modeling, deciding best data storage, creating data flow diagrams, maintaining related documentation

Taking care of performance, reliability, reusability, resilience, scalability, security, privacy & data governance while designing a data architecture

Apply or recommend best practices in architecture, coding, API integration, CI/CD pipelines

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

Required profile