USA_Platform Architect

Pay Rate Range: $57.14 - 58.82/hr.
GBAM Req :

Role:
Cloud Data architect

Job Description:
1. Architecture & Design
"Design end to end cloud data architectures, including ingestion, processing, storage, governance, and consumption layers.
"Define modern data platform patterns such as lakehouse, data mesh, and real time streaming architectures.
"Select appropriate cloud-native services (e.g., AWS Redshift/S3/Glue, Azure Synapse/ADF/Databricks, GCP Big Query/Dataflow).

2. Data Engineering & Integration
"Architect pipelines for batch and real time data ingestion.
"Enable scalable data processing using Spark, Databricks, Kafka, Flink, or cloud-native tools.
"Define ETL/ELT frameworks and best practices.

3. Cloud Platform Expertise
"Build secure and scalable cloud data ecosystems.
"Optimize data storage, compute performance, cost, and operational efficiency.
"Implement Infrastructure as Code (Terraform, ARM, Cloud Formation).

4. Data Governance & Security
"Develop data cataloging, lineage, classification, and DQ frameworks.
"Implement cloud IAM, role-based access, encryption, and compliance (GDPR, HIPAA, SOC2, PCI-DSS if BFSI).

5. Stakeholder Collaboration
"Work with business stakeholders to translate requirements into technical architectures.
"Partner with security, platform engineering, and product teams.
"Provide thought leadership in cloud data strategy and modernization.

6. Documentation & Best Practices
"Create reference architectures, standards, and reusable frameworks.
"Conduct architectural reviews and capacity planning.

"8+ years in data engineering/architecture; 3+ years in cloud-native architectures.
"Hands-on expertise in at least one major cloud:
oAWS (S3, Redshift, EMR, Glue, Athena, Lake Formation)
oAzure (Synapse, Data Lake, ADF, Databricks)
oGCP (Big Query, Dataflow, Dataproc)
"Strong experience with:
oDistributed data processing (Spark, Databricks)
oSQL/No

SQL design
oEvent streaming (Kafka, Kinesis, Pub/Sub)
oData modeling (Star/Snowflake, Data Vault)
"Proficiency in Python, PySpark, SQL.
"Knowledge of data governance, security, metadata management.

Preferred Qualifications:
"Cloud Architect certifications (AWS Solutions Architect, Azure Architect Expert, GCP Professional Data Engineer).
"Experience with BI/visualization tools (Power BI, Tableau, Looker).
"Familiarity with ML/AI platforms (Azure ML, Sage Maker, Vertex AI).
"Experience in regulated industries (BFSI, healthcare)

Skills: Digital :
Amazon Web Service(AWS) Cloud Computing~Digital:
Terraform~Digital :
Databricks~Enterprise Architecture

Experience Required: 8-10 years

Skills:

Category Name Required Importance Experience Skill Category Test1 _MN Digital :
Amazon Web Service(AWS) Cloud Computing Yes 1 7+ years