Lead the end-to-end delivery of Data Lake solutions on cloud / on-premise platforms.
Define architecture, design standards, and best practices for data ingestion, storage, transformation, and access.
Oversee data pipeline development, ETL / ELT processes, and integration with various data sources.
Manage data quality, governance, security, and compliance in line with organizational standards.
Collaborate with business stakeholders, data engineers, architects, and analysts to align technical solutions with business needs.
Drive adoption of big data technologies (e.g., Hadoop, Spark, Kafka) and cloud services (AWS, Azure, GCP).
Mentor and lead technical teams, providing guidance, performance reviews, and skill development.
Monitor project progress, risks, and dependencies, ensuring timely delivery of milestones.
Conduct architecture reviews, code reviews, and implement best practices for performance and scalability.
Stay updated on emerging data technologies and evaluate their applicability to business needs.
Required Skills & Qualifications :
12 - 14 years of experience in data engineering, data architecture, or data platform delivery.
Strong experience with Data Lake solutions, big data technologies, and cloud platforms (AWS, Azure, GCP).
Hands-on knowledge of ETL / ELT processes, data modeling, and pipeline orchestration.
Familiarity with data governance, security, and compliance frameworks.
Proven experience leading large-scale data delivery projects.
Excellent communication, stakeholder management, and leadership skills.
Ability to work in a fast-paced, dynamic environment and manage multiple priorities.
Preferred Qualifications :
Experience with real-time data streaming, event-driven architectures, or machine learning pipelines.
Knowledge of data catalog, metadata management, and data lineage tools.
Experience with Agile / Scrum methodologies and DevOps practices
(ref : hirist.tech)
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Delivery Lead • Bangalore
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