Lead Data Architect

3 days ago


Lucknow, Uttar Pradesh, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

About us

We're a data service provider dedicated to transforming data into business impact. Our broad range of data-driven solutions are designed to meet specific needs, conceived with a business-centric approach and delivered with tangible results.

We have a unique mix of company assets: state-of-the-art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

About the Role

We're looking for an experienced Data Lead to drive the full lifecycle of our data engineering solutions, from strategic design to hands-on implementation. As a key member, you will be a hands-on architect, building secure and scalable data platforms while mentoring our engineering teams.

Key Responsibilities

  • Design and develop robust, scalable, and secure data architectures that meet business requirements.
  • Lead the implementation of data solutions on various cloud platforms.
  • Define and enforce data governance, quality, and security standards.
  • Collaborate with data engineers, data scientists, and stakeholders to understand needs and translate them into technical solutions.
  • Evaluate new technologies and tools to improve our data infrastructure and practices.
  • Create and maintain detailed documentation of data architecture, data flows, and processes.
  • Provide technical leadership and mentorship to junior team members.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Overall 10-12 years of experience with 3+ years of experience in data architecture or a similar role.
  • Proven expertise in designing and implementing data solutions on at least one major cloud platform.
  • Solid understanding of cloud-native data services such as:
    • AWS: Redshift, S3, Glue, Athena, and EMR.
    • Azure: Synapse Analytics, Data Lake, Data Factory, and Databricks.
    • GCP: BigQuery, Cloud Storage, Dataflow, and Dataproc.
  • Experience with big data technologies (e.g., Spark, Hadoop) and data warehousing concepts.
  • Strong knowledge of SQL, ETL/ELT processes, and data modeling techniques.

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