Senior Technical Data Engineering Manager

Alkami Technology; Gurugram District; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

Alkami Technology is seeking a Senior Technical Data Engineering Manager in Gurugram, India. The role involves leading the Big Data Engineering team to drive the data strategy, design scalable data platforms, and directly contribute to coding and deployment efforts. Candidates should have 12+ years of experience in data/platform engineering, a strong foundation in data architecture, and leadership skills in fintech or related fields. The position promises dynamic leadership and the opportunity to shape data-driven decisions.

Qualifications

• Experience leading and mentoring Technical Engineering Managers and their teams.
• Proven success building petabyte‑scale data platforms in fintech, banking, or martech.
• Strong Data Architect capabilities in real‑time and batch pipelines.
• Hands‑on expertise with Python, PySpark SQL, Airflow, Parquet, Kafka, Spark.
• Solid experience with AWS, Azure, or GCP, and big data technologies.
• Familiarity with DevOps practices and CI/CD pipelines for data workflows.
• Knowledge of data governance frameworks, quality methodologies, and security practices.

Responsibilities

• Contribute directly to design, coding, and deployment of data solutions.
• Lead, hire, mentor, and cultivate a high‑performing team of data engineers.
• Own the design, development, and maintenance of scalable data systems.
• Partner with product managers and stakeholders ensuring data quality.
• Drive automation of data processes and adopt AI workflows for efficiency.

Skills

Leadership skills

Building data platforms

Data architecture

Python

PySpark SQL

Airflow

Kafka

AWS

Data governance

Communication skills

Education

Bachelor’s or Master’s in Computer Science, Engineering, Data Science

Tools

AWS

Azure

GCP

Hadoop

Spark

Job description

Position : Senior Technical Data Engineering Manager

About the Company

Alkami is a U.S.‑based digital banking innovator with 15+ years of expertise. Our cloud‑native 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 AI‑driven engineering, data platforms, and cloud‑native 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 data‑driven decision‑making. 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 hands‑on ~20% of the time.

Responsibilities

• Hands‑On Contribution (20%): Contribute directly to design, coding, and deployment of data solutions.
• Team Leadership & Development: Lead, hire, mentor, and cultivate a high‑performing team of data engineers and managers.
• Technology Strategy & Architecture: Own the design, development, and maintenance of scalable real‑time 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 open‑source 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 petabyte‑scale data platforms in fintech, banking, or martech.
• Strong Data Architect capabilities in real‑time and batch pipelines.
• Hands‑on 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 large‑scale data infrastructure.
• Knowledge of data governance frameworks, quality methodologies, and security practices.
• Excellent communication skills for both technical and non‑technical audiences.
• Passion for leveraging data to drive actionable insights.

Preferred Skills

• Familiarity with AI‑assisted workflows (Cursor, Claude, OpenAI Codex) for coding automation and optimization.
• Experience building ingestion, ETL, or analytics platforms with AWS and open‑source 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.