Position : Senior Technical Data Engineering Manager
About the Company
Alkami is a U.S.based digital banking innovator with 15+ years of expertise. Our cloudnative Digital Sales & Service Platform (DSSP) powers 300+ financial institutions and 22M+ users. With our India hub expanding in Gurugram, we are building the future of AIdriven engineering, data platforms, and cloudnative modernization.
About the Role
We are seeking a dynamic leader to head our Big Data Engineering team and drive Alkami's data strategy forward. This role is pivotal in shaping our data infrastructure to enable datadriven decisionmaking. You will collaborate closely with product and engineering teams to design and implement scalable data platforms that deliver measurable business outcomes. The role is expected to be handson 20% of the time.
Responsibilities
- HandsOn Contribution (20%): Contribute directly to design, coding, and deployment of data solutions.
- Team Leadership & Development: Lead, hire, mentor, and cultivate a highperforming team of data engineers and managers.
- Technology Strategy & Architecture: Own the design, development, and maintenance of scalable realtime and batch data systems.
- Stakeholder Collaboration: Partner with product managers, analysts, and stakeholders to ensure data availability and quality.
- Automation & AI Workflow Adoption: Drive automation of data processes, leverage opensource tools, and adopt AI workflows for efficiency.
- Data Management & Best Practices: Integrate latest tools and industry best practices to keep infrastructure competitive.
- Data Governance & Compliance: Champion governance, enforce security protocols, and ensure compliance with regulations.
Qualifications
- Experience leading and mentoring Technical Engineering Managers and their teams.
- Proven success building petabytescale data platforms in fintech, banking, or martech.
- Strong Data Architect capabilities in realtime and batch pipelines.
- Handson expertise with Python, PySpark SQL, Airflow, Parquet, Kafka, Spark.
- Solid experience with AWS, Azure, or GCP, plus big data technologies (Hadoop, Spark, metastores, catalogs).
- Familiarity with DevOps practices and CI/CD pipelines for data workflows.
- Track record of managing and scaling largescale data infrastructure.
- Knowledge of data governance frameworks, quality methodologies, and security practices.
- Excellent communication skills for both technical and nontechnical audiences.
- Passion for leveraging data to drive actionable insights.
Preferred Skills
- Familiarity with AIassisted workflows (Cursor, Claude, OpenAI Codex) for coding automation and optimization.
- Experience building ingestion, ETL, or analytics platforms with AWS and opensource stacks.
Experience & Education
- Bachelor's or Master's in Computer Science, Engineering, Data Science, or related field.
- 12+ years in data/platform engineering, with 5+ years in leadership roles within fintech or financial services.
