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Data Architect

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full-time

Posted on:

Location Type: Hybrid

Location: Kochi • 🇮🇳 India

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Job Level

SeniorLead

Tech Stack

ApacheAzureCloudETLPythonSparkSQLTerraformUnity

About the role

  • 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).

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data architecturedata engineeringETLELTdata modellingPythonApache SparkSQLDatabrickscloud-native architectures
Soft skills
mentoringleadershipcollaborationcommunicationtechnical directiondesign reviewsarchitectural decision-making
Certifications
Bachelor’s Degree in Computer ScienceBachelor’s Degree in EngineeringBachelor’s Degree in MIS