Chief Data Architect

1 week ago

Pune, Maharashtra, India beBeeData Full time ₹ 6,00,000 - ₹ 8,00,000

About the Role

We are seeking a Senior Data Engineer to lead the design, development and optimization of scalable data pipelines and platforms. These will power analytics, reporting and machine learning use cases.

This role requires strong technical expertise in distributed data systems, cloud-native architectures and automation frameworks.

The ideal candidate will be passionate about building reliable high-performance data infrastructure and enabling data-driven decision making across the enterprise.

Key Responsibilities

  • Data Pipeline Development: Design, develop and maintain scalable ETL/ELT pipelines for ingesting, transforming and processing large volumes of structured and unstructured data.
  • Platform Engineering: Enhance data-processing frameworks, orchestration workflows monitoring systems and CI/CD pipelines leveraging AWS and open-source technologies.
  • Optimization & Automation: Identify opportunities to automate manual processes optimize workflows for efficiency and re-architect solutions for improved scalability availability and usability.
  • Collaboration: Partner with product managers data scientists and application teams to understand requirements define data models and ensure reliable data delivery for analytical use cases.
  • Platform Support: Provide guidance training and technical support to internal stakeholders consuming platform services.
  • Monitoring & Reliability: Establish metrics implement monitoring tools and configure alerting mechanisms to proactively track system health detect anomalies and ensure SLA adherence.
  • Best Practices: Enforce coding standards data governance policies and DevOps practices for secure and compliant data solutions.

Required Skills & Qualifications

  • Proven experience in building and optimizing data pipelines in distributed environments.
  • Strong programming expertise in Python and PySpark (4+ years).
  • Advanced proficiency in SQL for querying modeling and tuning performance.
  • Hands-on experience with Linux environments and shell scripting.

Cloud & Tools

  • Experience with AWS services such as S3 Glue EMR Redshift Lambda and Athena.
  • Familiarity with CI/CD and version control tools : Git Bitbucket Jenkins AWS CodeBuild CodePipeline.
  • Exposure to monitoring and alerting tools (e.g., CloudWatch Prometheus Grafana ELK).

Additional Attributes

  • Working knowledge of Palantir platform is a strong plus.
  • Experience collaborating with cross-functional teams (data scientists analysts DevOps application developers).
  • Strong problem-solving and analytical skills with ability to debug complex data issues.
  • Knowledge of distributed computing concepts data partitioning and performance tuning.

Preferred Skills

  • Experience with modern data lakehouse and streaming platforms (Databricks Kafka Delta Lake).
  • Understanding of data security governance and compliance in regulated environments.
  • Ability to design highly available cost-optimized and production-ready solutions.
  • Strong communication skills to engage with stakeholders and present technical solutions clearly.

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