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.

Apply

Vacancy posted more than 2 months ago

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