(Please CC to Official mail id:-( jitendr...@tekgence.com)
Hi,
Hope you are doing Well.
Please find the JD below and let me know your interest ASAP.
And please attach copy of your Resume and mention visa status while replying.
Title:- Snowflake Architect
Location:
Boston, MA
Rate $75/hr CTC All Inclusive including 4.8%VMS Charges.
Please mention location and visa status
while replying
Digital : Snowflake Architect
Role Summary:
We are seeking a hands-on Snowflake Data Engineer to design, build, optimize,
and productionize data pipelines and data products on Snowflake for enterprise
analytics use cases. The role requires deep expertise in SQL, ELT/ETL
orchestration, data modeling (3NF/Star/Snowflake), performance tuning, cost
optimization, and secure data sharing in Snowflake. You’ll collaborate with
Product Owners, Data Architects, Analytics Engineers, and Platform teams to
deliver reliable, scalable, and well-governed data solutions for TJX.
Required Skills & Experience:
Must have:
Snowflake (Hands-on Expert):
Warehouses, Databases, Schemas, Roles & Grants (RBAC)
Stages (internal/external), File Formats, COPY INTO, Snowpipe, Streams &
Tasks
Time Travel, Cloning, Zero-Copy Clones, Fail-safe awareness
Query tuning (clustering keys, micro-partitions, caching, pruning)
Secure data sharing, masking policies, tags, governance features
BCR, DR, Storage integration and Parameters
Materialized / Semantic Views, Dynamic Tables, Stream Lit, Snowflake
Architecture
SQL Mastery: Strong, production-grade SQL for large-scale transformations.
Good to have:
Programming: Python (preferred) for ELT utilities, framework integration, data
quality checks; dbt for transformation-as-code is a strong plus.
Orchestration: Airflow (preferred) or ADF/Glue/Composer; scheduling,
dependencies, retry policies, SLAs.
Data Modeling: Dimensional modeling (Kimball), SCD Type 1/2;
normalization/denormalization trade-offs; exposure to data vault is a plus.
Cloud Platforms: Experience with at least one major cloud (AWS/Azure/GCP) for
storage (S3/ADLS/GCS), IAM, networking basics, and secrets management.
Version Control & CI/CD: Git workflows, branching, code reviews, packaging,
environment promotion.
Data Quality: Testing frameworks (dbt tests, Great Expectations) and
monitoring/observability.
Jitendra Kumar
Sr. Talent Acquisition Specialist