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.
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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