Associate Director

15 - 20 years

25 - 30 Lacs

Posted:21 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Role Description

Key Responsibilities

Solutioning & Architecture:

  • Design and architect end-to-end data engineering solutions leveraging AWS services (S3, Glue, EMR, Lambda, Kinesis, Redshift) and Snowflake
  • Experience in implementing Data Vault is desired
  • Define data lake and data warehouse architectures that support enterprise-scale analytics and business intelligence requirements
  • Develop data integration strategies, ETL/ELT frameworks, and data pipelines using modern engineering practices
  • Establish data governance frameworks, security protocols, and compliance standards across cloud platforms
  • Evaluate emerging technologies and recommend innovative approaches to optimize data infrastructure

Delivery Management:

  • Lead multiple concurrent data engineering projects from initiation through deployment and post-production support
  • Manage project timelines, resources, budgets, and stakeholder expectations across complex implementations
  • Coordinate with business stakeholders, data scientists, analysts, and engineering teams to ensure alignment with business objectives
  • Implement Agile/Scrum methodologies and drive continuous improvement in delivery processes
  • Manage risks, dependencies, and impediments to ensure on-time, high-quality deliverables

Team Leadership:

  • Build, mentor, and develop a high-performing team of data engineers and technical specialists
  • Provide technical guidance and code reviews to ensure best practices and quality standards
  • Foster a culture of innovation, collaboration, and continuous learning within the team
  • Conduct performance evaluations and support career development initiatives

Technical Skills

Technical Delivery:

  • Hands-on involvement in complex technical implementations including data modeling, pipeline development, and performance optimization
  • Ensure scalability, reliability, and performance of data platforms supporting petabyte-scale data processing
  • Implement DataOps practices including CI/CD pipelines, automated testing, and monitoring frameworks
  • Troubleshoot production issues and implement preventive measures

Required Qualifications

  • Bachelor's or masters degree in computer science, Engineering, or related technical field
  • 15+ years of experience in data engineering with at least 3 years in leadership roles
  • Strong expertise in AWS cloud services (S3, Glue, EMR, Lambda, Athena, Kinesis, Step Functions, Lake Formation)
  • Extensive hands-on experience with Snowflake including architecture, optimization, and SnowSQL
  • Proficiency in programming languages such as Python, SQL, and Scala/Java
  • Experience with infrastructure-as-code tools (Terraform, CloudFormation)
  • Proven track record of delivering large-scale data platform projects in enterprise environments
  • Strong understanding of data warehousing concepts, dimensional modelling, and ETL/ELT patterns
  • Experience with big data technologies (Spark, Hadoop, Kafka)
  • Demonstrated ability to translate business requirements into technical solutions

Qualifications

Preferred Qualifications

  • Domain experience Wealth Management/Capital Markets
  • AWS certifications (Solutions Architect, Data Analytics, or similar)
  • SnowPro certifications (Core or Advanced)
  • Experience with data governance tools (Collibra, Alation, AWS Glue Data Catalog)
  • Knowledge of streaming data architectures and real-time processing
  • Familiarity with dbt (data build tool) and modern data stack components
  • Experience with DataOps and MLOps practices
  • Strong presentation and stakeholder management skills
  • PMP, Scrum Master, or similar project management certifications.

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