- 4+ years of experience in data engineering, database engineering, or platform engineering, including 5+ years in senior technical leadership roles.

- Proven experience leading teams building large-scale data platforms in cloud environments.

- Deep hands-on expertise with :

1. Big data ecosystems (Hadoop, Spark, Hive, HDFS, etc.)

2. ETL/ELT tools and frameworks (Informatica, DataStage, custom frameworks, etc.)

3. Relational & non-relational databases (Teradata, Oracle, SQL Server, DB2, Redshift, NoSQL).

- Programming & data technologies : SQL, Python, Spark, Scala, Java, shell scripting.

- Strong experience with AWS data services (S3, Glue, Athena, RDS, Redshift, etc.)

- Solid understanding of distributed systems, data architecture, and performance optimization.

- Demonstrated ability to partner with senior stakeholders and influence across technology and business teams.

- Hands-on experience with AI technologies; ability to understand and implement new advancements and articulate technical details to both engineering teams and executives.

- Financial discipline ability to manage budget and financial responsibilities at a team and platform level.

Desired Qualifications :

- Experience in financial services, with understanding of consumer and commercial banking data.

- Experience supporting or enabling AI/ML and GenAI solutions, including feature pipelines and analytics platforms.

- Familiarity with data visualization and BI tools (Tableau, Cognos, SAS).

- Knowledge of responsible AI, data governance, and regulatory considerations in highly regulated environments.

- Experience modernizing legacy data platforms into cloud-native architectures.

- Executive speaking skills ability to articulate strategy, challenge the status quo, and present to senior leadership and key stakeholders with confidence.

- Experience working across or within highly collaborative, non-hierarchical organizational cultures with an emphasis on peer relationships and open communication.

Education & Certifications :

- Required : Bachelor's degree in Computer Science, Engineering, Statistics, or related field.

- Preferred : Master's degree in Computer Science, Data Engineering, AI/ML, or related discipline.

- Preferred : AWS, Big Data, ETL