Data Architect

Job Title: Data Architect 
Location: Santa Clara, CA (Onsite)

Job Description:

The Candidate have experience as Data Operations Analyst working as Data Engineer and Data Architect with AWS (Redshift, EMR, S3, EC2, Lambda, IAM, DMS, Athena, SNS, CloudWatch), Snowflake, MemSQL, Spark, Python, PySpark, PL/SQL, Databricks Delta, QlikView, Tableau, Power BI, Azure Data Factory, SSIS, Feast, SageMaker, Terraform, Docker, Kubernetes, Git, Jenkins, Matillion, DynamoDB, Bash, Trino, Iceberg, HBase, Cassandra, Redis, MongoDB, PostgreSQL, MS SQL Server.

For Data Operations Analyst, it is same as Data System Analyst along with Data Engineering with Databricks, Pyspark, Python, SQL and Tableau Experience.

Key Skills:

Data & Analytics Technologies

SQL – Advanced querying, data extraction, analysis.
Python – Data processing, analytics, scripting.

Data Visualization

Power BI – Dashboard creation, interactive reports.
Tableau – Data visualization and analytics dashboards.

Cloud & Data Platforms

• AWS
  Azure
  Databricks

Familiarity with modern data platforms:
Data lakes
Data warehouses
Snowflake, Redshift

Data Engineering & Quality

• Understanding of: Data models, Data pipelines, Data mappings
• Data quality concepts: - Completeness, accuracy, consistency, timeliness
• Ability to define validation rules, KPIs, and reconciliation logic.

Manufacturing & Operations Data Systems

Knowledge of: Manufacturing Execution Systems (MES), Test data systems, Supply chain systems, working with manufacturing event data, test logs, build data, quality metrics.