Associate Director - Data Platforms

ROLES & RESPONSIBILITIES

• Platform Leadership: Lead the design, implementation, and lifecycle management of enterprise data platforms including:
  • AWS Cloud Platform: Provisioning, operations, cost optimization, and observability
  • Databricks: Cluster management, job orchestration, security governance, and platform upgrades
  • Data Visualization Platforms: Oversight of Tableau, Power BI, and other relevant tools
  • Data Quality & Governance: Implement and manage tools like Collibra, Informatica DQ, or equivalent
  • Databases: : Implement and manage Relational, No-SQL & Graph Databases.
• Site Reliability Engineering (SRE): Ensure resilience, availability, observability, and automated recovery mechanisms for data platforms. Drive DevOps and IaC (Infrastructure as Code) practices.
• Cloud FinOps: Manage cloud spend and optimize cost-performance trade-offs for AWS and Databricks. Establish governance policies and dashboards for consumption tracking.
• Operations & Support: Establish and oversee L2/L3 support for platform incidents, SLAs, and maintenance. Ensure platform health, upgrades, patching, and vulnerability remediation.
• Innovation & Roadmap Execution: Stay current with cloud-native innovations and establish strategic roadmaps for platform evolution. Lead PoCs and pilot initiatives aligned with business priorities.
• Collaboration: Partner with enterprise architects, product owners, engineering teams, and business stakeholders to drive data platform adoption and ensure alignment with enterprise standards.
• Team Leadership: Manage a team of platform engineers and vendors across global time zones. Foster a high-performance, inclusive, and collaborative team culture.

Must-Have Skills:

• Experience in Designing, Implementing & Managing enterprise scale cloud Data, BI platforms, automation engineering, SRE teams for data platforms or applications.
• Experience with AWS/Azure, Databricks, PowerBI, Tableau, Informatica platforms
• Strong understanding of Cloud Infrastructure, Data and AI platforms, Data Warehouse, and data pipeline concepts and practices.
• Strong understanding of cloud infrastructure and data pipeline performance and cost factors, and experience in optimizing costs.
• Experience leading a team of 25+ people.

Basic Qualifications and Experience

• Masters degree in business, Information Technology, Computer Science, or a related field and 14+ years of relevant work experience
• Bachelors degree in business, Information Technology, Computer Science, or a related field and 16+ years of relevant work experience
• AWS Cloud Solution Architecture & Administration certifications
• Databricks certifications

Soft Skills:

• A strong interest and demonstrated excellence in mentoring, helping early career professionals grow their careers.
• Excellent analytical and troubleshooting skills.
• Strong verbal and written communication skills
• Ability to work effectively with global, virtual teams
• High degree of initiative and self-motivation.
• Ability to manage multiple priorities successfully.
• Team-oriented, with a focus on achieving team goals
• Strong presentation and public speaking skills.