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Datavail Infotech - Data Architect

Datavail Infotech - Data Architect

DatavailMumbai
30+ days ago
Job description

About the Role :

We are seeking a highly skilled Data Architect with proven expertise in designing, implementing, and optimizing enterprise-scale data solutions leveraging Azure Databricks, Snowflake, and modern data engineering frameworks. The ideal candidate will combine deep technical proficiency with strong architectural vision to drive robust, scalable, and high-performance data lakehouse ecosystems that support advanced analytics, BI, and data science use cases.

You will collaborate closely with data engineers, analysts, business stakeholders, and cross-functional teams to define data architecture strategies, ensure data governance & quality, and deliver solutions aligned with business goals while adhering to industry best practices.

Key Responsibilities :

1. Data Architecture & Design :

  • Design, implement, and maintain data lakehouse architectures (Medallion architecture) with Azure Databricks, Unity Catalog, and Delta Live Tables.
  • Architect and optimize Snowflake data warehouse solutions, ensuring high performance, scalability, and cost efficiency.
  • Develop data models (conceptual, logical, and physical) that support enterprise-level analytics and reporting requirements.
  • Apply data classification, taxonomy, ontology, and metadata management best practices to ensure discoverability and consistency.

2. Data Engineering & Pipelines :

  • Lead the development of robust ETL / ELT pipelines using Apache Spark / PySpark, DBT, and Databricks SQL.
  • Design and implement data ingestion, transformation, and integration solutions from multiple structured and unstructured sources.
  • Implement data quality frameworks and monitoring solutions to ensure trusted, accurate, and complete datasets.

    • 3. Governance, Security & Compliance :

  • Establish data governance standards, leveraging Unity Catalog for role-based access control, lineage tracking, and audit compliance.
  • Ensure compliance with regulatory and organizational data privacy policies.
  • Implement master data management (MDM) strategies to ensure a single source of truth.

    • 4. Collaboration & Strategic Alignment :

  • Partner with data science teams to enable advanced analytics, ML, and AI workloads.
  • Translate complex architectural concepts into clear business-oriented communication for executives and stakeholders.
  • Provide technical mentorship and architectural guidance to data engineers and analysts.

    • 5. Technology Evaluation & Innovation :

  • Stay abreast of emerging data technologies and evaluate their applicability in solving business problems.
  • Champion DevOps, DataOps, and CI / CD best practices for data platforms.
  • Drive proof-of-concept initiatives for new tools and methodologies.

    • Required Qualifications & Experience :

  • 9+ years of overall IT experience, with 5+ years in managing data lakehouse environments and modern cloud data platforms.

    • Strong experience in :

  • Azure Databricks (cluster configuration, compute & storage optimization)
  • Apache Spark / PySpark
  • Databricks SQL, Delta Live Tables, Unity Catalog
  • Snowflake Architecture (data sharing, performance tuning, cost optimization)
  • Data Modelling (Dimensional, Relational, and NoSQL)
  • DBT (Nice-to-have but preferred)
  • Strong understanding of SDLC, Agile, DevOps methodologies.
  • Bachelors degree in Computer Science, Information Systems, Data Engineering, or related field.

    • (ref : hirist.tech)

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