Lead Data Architect

• Lead Data Architect
• Company: Tachyon Technologies
• Job Location: Hyderabad, Telangana, India
• Employment Type: Contract
• Experience Required: 10+ years
• About the Role

We are looking for an experienced Lead Data Architect to define and lead the enterprise data architecture strategy. The ideal candidate will design scalable, secure, and cost-effective data platforms, establish data governance standards, and align data architecture with business and technology objectives.

• Key Responsibilities
• Define enterprise data architecture, data models, and technology roadmaps.
• Design modern data platforms, including data lakes, data warehouses, and lakehouse architectures.
• Lead cloud data architecture solutions across Azure, AWS, or GCP.Establish data governance, data quality, metadata management, master data management, and data security standards.
• Design batch and real-time data integration architectures using ETL/ELT frameworks.
• Define data modeling standards, including conceptual, logical, and physical data models.
• Ensure data privacy, security, compliance, scalability, and high availability.
• Evaluate data technologies and recommend architecture improvements.
• Collaborate with business stakeholders, data engineers, analytics teams, and enterprise architects.
• Provide technical leadership, architecture reviews, and mentorship to data engineering teams.
• Define architecture documentation, design patterns, and best practices.
• Required Qualifications

Bachelor's or master's degree in Computer Science, Information Technology, or a related discipline.10+ years of experience in data engineering, data architecture, or enterprise data platforms.

• Strong experience designing cloud-based data architectures on Azure, AWS, or GCP.Expertise in data warehousing, data lakes, lakehouse architecture, and distributed data processing.
• Strong knowledge of SQL, data modeling, ETL/ELT, and data integration.
• Experience with technologies such as Databricks, Snowflake, Microsoft Fabric, BigQuery, Redshift, or Synapse Analytics.
• Knowledge of Apache Spark, Kafka, and real-time data processing.
• Experience with data governance, data quality, lineage, cataloging, and security.
• Strong communication, stakeholder management, and architectural decision-making skills. .