Chief Data Architect

3 days ago

Kottayam, Kerala, India beBeeDataEngineer Full time ₹ 20,00,000 - ₹ 25,00,000

Job Title: Senior Data Engineer

Job Summary:

We are seeking a seasoned data engineer to lead our team in designing, developing and optimizing data ingestion, transformation and governance frameworks for real-time and batch data analytics across our enterprise.

The ideal candidate will have deep expertise in building scalable data pipelines using cloud-native technologies like Microsoft Azure, AWS and GCP. They should also have a strong understanding of data architecture patterns, including Lakehouse, Medallion and Delta Architecture.

About the Role:

  • Designing and implementing scalable, robust and secure data pipelines using Azure Data Factory, Databricks, Synapse Analytics and other related tools
  • Developing and maintaining ETL/ELT processes for structured and unstructured data
  • Implementing Change Data Capture (CDC), streaming pipelines and batch ingestion
  • Optimizing performance and cost across data workloads and cloud environments
  • Establishing and maintaining data quality frameworks, observability tools and monitoring dashboards
  • Defining and enforcing data rules, validations, anomaly detection and reconciliation
  • Implementing data lineage and metadata tracking using Azure Purview
  • Driving adoption of data cataloguing, profiling and classification tools
  • Collaborating with data stewards and compliance teams to ensure governance alignment
  • Implementing role-based access control (RBAC), data masking, encryption and tokenization

Key Responsibilities:

  • To lead data initiatives and mentor team members
  • To be proactive in learning and adopting emerging technologies in data & AI
  • To critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details and abstract up from low-level information to a general understanding
  • To collaborate with developers and subject matter experts to establish the technical vision and analyse trade-offs between usability and performance needs
  • To mentor junior data engineers and contribute to technical best practices

Requirements:

  • A minimum of 4 years of experience in data engineering with at least 2 years on Azure cloud platform
  • Hands-on experience with Azure Data Factory, Azure Data Lake Gen2, Databricks, Synapse, Purview and other related tools
  • Proficiency in SQL, PySpark, Python and data orchestration tools
  • Strong understanding of data architecture patterns – Lakehouse, Medallion, Delta Architecture
  • Familiarity with Snowflake, BigQuery, Redshift or AWS Glue
  • Experience with data versioning and GitOps for data
  • Working knowledge of data observability, lineage, cataloguing, data quality
  • Exposure to privacy-enhancing techniques, access control, security auditing
  • Exposure to machine learning use cases in data engineering pipelines, data quality, anomaly detection and schema change detection
  • Exposure to GenAI or agentic AI to Automate data cataloguing and metadata enrichment etc.
  • Experience with NLP or LLMs in metadata extraction or data classification is a plus

Personal Attributes/Traits:

  • Consultative
  • Socially confident
  • Achievement oriented
  • Decisive and action oriented
  • Creative
  • Eager to learn
  • Resilient

Competencies:

  • Business Foresight
  • Influencing Others
  • Fostering Partnerships With Customers
  • Managing Transformation
  • Driving Excellence
  • Leading Teams
],

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