Hybrid Data Architect

at Reply

• Job title: Data Architect
• Job type: Full Time
• Experience level: Senior, Lead
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Apache, Azure, Cloud, ETL, Python, Spark, SQL, Terraform, Unity
• Location requirements: Hybrid, Kochi, India

About the role

• Seeking a Data Architect experienced in designing scalable cloud data platforms and modern data ecosystems at Reply. Collaboration with customers and engineering teams for robust data solutions is key.

Responsibilities

• Design and lead end-to-end architecture for complex cloud-based data ecosystems, including lakehouse and enterprise data platforms.
• Translate business requirements into scalable architectural designs, roadmaps, and technical specifications, including advanced scenarios, such as establishing common data models across development teams, sharing multi-tenant system data directly to customers, integrations between Databricks and external data platforms, and handling RLS from Databricks source data to analytics and reporting tools.
• Architect and implement Databricks-based solutions, including Unity Catalog, Delta Lake, Databricks SQL, Workflows, and governance frameworks. Establish data governance policies in addition to technical solutions.
• Define and enforce data modelling standards for relational, dimensional, and lakehouse structures, including common data models across global systems.
• Architect and oversee development of ETL/ELT frameworks, source-to-target mappings, and reusable transformation standards, focusing on meta-data solutions.
• Establish best practices for data ingestion, curation, cataloging, lineage, quality, and MDM across the data ecosystem. Establish MDM solutions, preferably with Profisee.
• Partner with cross-functional engineering teams to ensure architectural consistency, performance optimization, and security compliance.
• Mentor and lead junior engineers, contributing to technical direction, design reviews, and architectural decision-making.
• Develop cloud-native reference architectures leveraging Azure Data Factory, Azure SQL, Synapse Analytics, Azure Data Lake, Stream Analytics, and other modern Azure services.
• Collaborate with executive and architect stakeholders to define data governance standards, taxonomy structures, and metadata strategies. Explain and defend architecture decisions to customers.

Requirements

• Bachelor’s Degree in Computer Science, Engineering, MIS, or a related field.
• 12+ years of experience in total along with strong data engineering or data platform development background and with at least 3+ years in data architecture roles.
• 3+ years of experience with Databricks, including Unity Catalog, Delta Lake, Databricks SQL, and Workflow orchestration.
• Strong proficiency with Python, Apache Spark, and distributed data processing frameworks.
• Advanced SQL expertise, including performance tuning, indexing, and optimization for large datasets.
• Proven experience designing and implementing lakehouse architectures and cloud data ecosystems.
• Hands-on experience with Azure Data Services: ADF, ADLS, Azure SQL, Synapse Analytics, Stream Analytics or Fabric equivalents.
• Strong understanding of data modelling principles (3NF, dimensional modelling, Kimball, Inmon) and enterprise data warehouse concepts.
• Prior consulting experience delivering analytics or data platform solutions to enterprise clients.
• Familiarity with CI/CD pipelines and IaC tools (Terraform, ARM, Bicep).