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Cloud Data Architect

AceStack LLC

Role : Cloud Data Architect

Location: West Lake, CA or Carrolton, TX (Onsite)
Fulltime

Must Have Technical/Functional Skills


• 8+ years in data engineering/architecture; 3+ years in cloud-native architectures.


• Hands-on expertise in at least one major cloud:


o AWS (S3, Redshift, EMR, Glue, Athena, Lake Formation)


o Azure (Synapse, Data Lake, ADF, Databricks)


o GCP (BigQuery, Dataflow, Dataproc)


• Strong experience with:


o Distributed data processing (Spark, Databricks)


o SQL/NoSQL design


o Event streaming (Kafka, Kinesis, Pub/Sub)


o Data 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, SageMaker, Vertex AI).


• Experience in regulated industries (BFSI, healthcare).

Key Responsibilities


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 BigQuery/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, CloudFormation).


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.
Vacancy posted 1 day ago
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