Data Architect (Cloud & Databricks)

• Data Architect (Cloud & Databricks)
• Company: calpar global
• Job Location: Kochi, Keralam, India
• Employment Type: Full-time
• Experience Required: 12+ years

We are seeking a highly experienced Data Architect to design and lead modern, scalable, and secure cloud data platforms that power analytics, reporting, and AI-driven decision-making for enterprise customers.

This is a senior, impactful role for someone who can combine deep technical expertise with strong stakeholder engagement shaping data strategy while guiding engineering teams to deliver robust, enterprise-grade solutions.

• What you'll do:
• Lead end-to-end architecture for cloud-based data ecosystems, including lakehouse and enterprise analytics platforms
• Translate business needs into scalable architectural designs, technical roadmaps, and governance frameworks
• Architect and implement Databricks solutions using Unity Catalog, Delta Lake, Databricks SQL, and Workflows
• Define and enforce data modelling standards across relational, dimensional, and lakehouse architectures
• Design and oversee ETL/ELT frameworks, metadata strategies, and reusable transformation standards

Establish best practices for data ingestion, quality, lineage, cataloging, and MDM (preferably Profisee)Partner with engineering teams to ensure performance, security, and architectural consistency

• Build cloud-native reference architectures using Azure services such as ADF, ADLS, Synapse, and Stream Analytics
• Collaborate with executive stakeholders to define data governance, taxonomy, and metadata strategies
• Mentor and guide junior engineers through design reviews and technical decision-making
• Minimum Qualifications:

Bachelor's degree in Computer Science, Engineering, MIS, or related field12+ years total experience, with 3+ years in data architecture3+ years hands-on Databricks experience (Unity Catalog, Delta Lake, SQL, Workflows)Strong expertise in Python, Apache Spark, and distributed data processing

Advanced SQL skills, including performance tuning and optimization

Proven experience designing lakehouse architectures and cloud data platforms

Hands-on experience with Azure Data Services (ADF, ADLS, Azure SQL, Synapse, Stream Analytics or Fabric)Deep understanding of data modelling (3NF, Kimball, Inmon) and enterprise data warehousing

• Prior consulting experience with enterprise clients
• Familiarity with CI/CD and IaC tools (Terraform, ARM, Bicep)
• Preferred Skills:
• Experience building automated CI/CD pipelines and environment strategies
• Exposure to Microsoft Fabric or other modern analytics platforms

Experience with Big Data technologies (HDFS, Hive, MapReduce)Familiarity with NoSQL systems (Cassandra, MongoDB, HBase, CouchDB)Experience with BI tools such as Power BI, Tableau, Qlik, or Cognos

Skills Required

Workflows, Apache Spark, Adf, Terraform, Azure Sql, Sql, Arm, Synapse, Databricks, Python .