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Tier-1 brand, metro locations, and mid-level data architect role drive high applicant competition.
Role requires specialized data architecture and cloud platform experience, limiting cross-industry transferability.
Multiple mandatory technical skills, cloud/databricks expertise, and team management increase filtering strictness.
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Design and implement scalable cloud-based data architectures and solutions using AWS, Azure, or GCP.
Lead and manage data engineering teams to deliver data pipelines, ensuring data quality, governance, and performance.
Collaborate with clients to translate business requirements into technical solutions and support pre-sales and solutioning initiatives.
Strong hands-on experience with AWS, Azure, or GCP cloud platforms.
Experience in Databricks/Spark, big data processing, ETL/ELT pipelines, and data modeling.
Bachelor's degree in Computer Science or Information Technology (B.Tech/BE).
Work location in Pune or Hyderabad with mandatory hybrid work model (3 days/week in client office).
Experienced in managing and delivering projects within data engineering teams.
Proficient in SQL, Python or Scala, and familiar with CI/CD, DevOps practices, and orchestration tools like Airflow.
Capable of client communication, managing expectations, and mentoring team members for capability development.