Cloud Data Architect

We are looking for an experienced Cloud Data Architect to join our Data (Migration) team and drive the architecture, design, and implementation of customers modern data platforms. The ideal candidate will have extensive experience migrating traditional data warehouse technologies, including Teradata, Oracle, BW, Hadoop to modern cloud data platforms like Databricks, Snowflake, Redshift, Bigquery, or Microsoft fabric. You will be responsible for leading data platform migrations and the design and development of scalable data solutions that support our organization’s strategic goals.

• Lead the development and implementation of data architecture strategies that align with business objectives.
• Design and oversee the architecture of enterprise data warehouses, data lakes, and big data platforms.
• Establish best practices and standards for data modeling, integration, and management.

• Architect, design, and implement data warehouse solutions using platforms like Databricks, Redshift, Big Query, Synapse, and Snowflake.
• Develop scalable big data solutions using cloud data technologies and services.
• Ensure the data architecture supports data quality, security, and governance requirements.

• Evaluate and recommend data platforms, tools, and technologies that meet the organization’s needs.
• Lead the selection and implementation of new data technologies and ensure seamless integration with existing systems.
• Stay current with industry trends and emerging technologies to guide future data strategies.

• Work closely with stakeholders across the organization, including data engineers, data scientists, and business analysts, to understand data needs and deliver solutions.
• Collaborate with IT teams to ensure data infrastructure is optimized for performance, scalability, and reliability.
• Provide leadership and mentorship to data architecture and engineering teams.

• Design and implement robust ETL processes to integrate data from various sources into the data warehouse and big data platforms.
• Oversee the management of metadata, master data, and data lineage across systems.
• Ensure data consistency, accuracy, and availability for business users.

• Monitor and optimize the performance of data platforms and processes.
• Implement strategies for data archiving, backup, and recovery.
• Address scalability and performance challenges in large-scale data environments.

• Ensure that data architecture and solutions comply with data governance, privacy, and security policies.
• Implement data governance frameworks and ensure adherence to regulatory requirements.
• Establish data stewardship programs to maintain data quality and consistency.

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

• 15+ years of experience in data architecture, data warehousing, and big data solutions.
• 5+ years of experience working in Cloud AWS, GCP or Azure.
• 5+ years of experience working in modern cloud data platforms (Databricks, Redshift, Big Query, Synapse, SAP Datasphere, and Snowflake.)
• 5+ years of experience designing Cloud Infrastructure on AWS, GCP or Azure.
• Extensive experience with data warehouse platforms such as Teradata Oracle, SAP BW and migration of these data warehouses to modern cloud data platforms.
• Deep understanding and hands-on experience with big data technologies like Hadoop, HDFS, Hive, Spark and cloud data platform services.
• Proven track record of designing and implementing large-scale data architectures in complex environments.
• CICD/Dev Ops experience is a plus.

• Strong expertise in data modeling, data integration (ETL/ELT), and database design.
• Proficiency in SQL, PL/SQL, and performance tuning in Teradata, Oracle, and other databases.
• Strong experience with cloud data platforms tools and services (e.g., AWS Glue, AWS Redshift, Daataproc, Google Big Query, Azure Synapse, ADF).
• Experience with data governance, security, and compliance best practices.
• Excellent problem-solving, analytical,…