Chief Data Engineering Solutions Architect

5 days ago

Coimbatore, Tamil Nadu, India beBeeData Full time ₹ 30,00,000 - ₹ 40,00,000
Job Overview

A senior-level data engineer is required to spearhead the development and implementation of cutting-edge data engineering solutions. The ideal candidate will possess a deep understanding of big data, streaming platforms, cloud computing, and modern business intelligence tools.

Key Responsibilities
  • Customer Focus:
    • Act as the primary liaison between customers and internal stakeholders, ensuring seamless delivery of data and analytics solutions.
    • Translate complex customer requirements into scalable, high-impact data solutions.
    • Maintain a strong focus on stakeholder engagement and satisfaction, guaranteeing delivery meets or exceeds expectations.
  • Technology & Market Adaptation:
    • Design and implement scalable, cloud-agnostic data solutions using technologies such as Databricks, Snowflake, Redshift, Python/Pyspark, SQL Server, PostgreSQL on any Cloud (AWS/Azure/GCP).
    • Stay ahead of technology trends in data engineering, cloud computing, and big data platforms to ensure competitive offerings.
    • Evaluate and adopt emerging tools and frameworks that enhance productivity, performance, and innovation.
  • Cross-Functional Collaboration with Global Teams:
    • Facilitate collaboration between technical and non-technical stakeholders, translating business needs into technical execution.
    • Promote knowledge sharing and alignment across functional and geographical team boundaries.
  • Team Leadership and Development:
    • Lead, mentor, and develop a high-performing global team of 20+ data professionals across onshore and offshore locations.
    • Foster a culture of accountability, innovation, and continuous learning within the data team.
    • Establish career development plans and performance metrics to drive individual and team growth that aligns with organizational KPIs.
    • Align team structure and skill sets with evolving business and technology needs.
  • Process Improvement and Reporting:
    • Define and continuously refine best practices in Technology frameworks and operational processes.
    • Drive improvements in data quality, performance, and governance across the data lifecycle.
    • Track team utilization and proactively forecast upcoming bench time, ensuring maximum billing efficiency and planning for resource allocation.
    • Achieve and maintain 100% billing utilization by aligning team capacity with project demands.
    • Generate and share regular utilization and billing reports with the leadership team to inform resourcing and financial strategies.
    • Lead initiatives to automate and streamline data processes, reducing manual effort and increasing delivery speed.

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