Senior Data Architect

We are seeking an experienced Senior Data Architect with 10+ years of experience designing enterprise-scale data architecture, data platforms, data models, and cloud-based solutions. The ideal candidate will have strong expertise in AWS/Azure/Google Cloud Platform, data warehousing, data lakes/lakehouses, ETL/ELT, Big Data, SQL, and modern data technologies.

Key Responsibilities

• Design and implement scalable, secure, and high-performance enterprise data architectures.
• Define data architecture strategy, standards, principles, and governance frameworks.
• Develop conceptual, logical, and physical data models.
• Design data warehouses, data lakes, lakehouses, and analytical platforms.
• Lead cloud data architecture initiatives across AWS, Azure, or Google Cloud Platform.
• Design batch and real-time data ingestion and processing pipelines.
• Define ETL/ELT architecture using tools such as Databricks, Snowflake, Azure Data Factory, AWS Glue, Informatica, or Apache Spark.
• Develop data integration strategies across enterprise applications, APIs, databases, and third-party systems.
• Establish data governance, data quality, metadata management, lineage, and master data strategies.
• Partner with Data Engineers, Data Scientists, BI teams, Application Architects, Security teams, and business stakeholders.
• Define data security, privacy, access-control, encryption, and compliance architecture.
• Evaluate and recommend data technologies, platforms, and architectural patterns.
• Optimize data platforms for performance, scalability, reliability, and cost.
• Create architecture diagrams, technical specifications, standards, and implementation guidelines.
• Provide technical leadership and mentoring to data engineering and development teams.

Required Skills

• 10+ years of experience in data architecture, data engineering, or enterprise data platforms.
• Strong expertise in SQL and relational database technologies.
• Experience with data modeling, dimensional modeling, and database design.
• Strong experience with Data Warehouse, Data Lake, and Lakehouse architectures.
• Hands-on experience with one or more cloud platforms:
  • AWS
  • Microsoft Azure
  • Google Cloud Platform
• Strong knowledge of:
  • Snowflake
  • Databricks
  • Apache Spark
  • Kafka
  • ETL/ELT
  • Data APIs
  • REST services
• Experience with data integration technologies such as Informatica, Talend, AWS Glue, Azure Data Factory, or similar tools.
• Strong understanding of data governance, metadata, lineage, data quality, and MDM.
• Experience designing highly available and scalable distributed data systems.
• Knowledge of CI/CD, DevOps, Infrastructure as Code, and cloud security.
• Strong communication, stakeholder management, and technical leadership skills.

Preferred Skills

• Experience with Delta Lake, Unity Catalog, dbt, Airflow, Fivetran, or Matillion.
• Experience with Power BI, Tableau, or Looker.
• Knowledge of NoSQL databases such as MongoDB, DynamoDB, Cassandra, or Cosmos DB.
• Experience with real-time/streaming data architecture using Kafka or similar technologies.
• Knowledge of AI/ML data platforms and Generative AI architectures.
• Experience implementing enterprise data mesh or data fabric architectures.
• Cloud certifications such as AWS Solutions Architect, Azure Solutions Architect, or Google Cloud Architect are a plus.