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Arohana Tech Solutions Private Limited
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Engineering Manager, Enterprise Data Platform

Engineering Manager, Enterprise Data Platform

Arohana Tech Solutions Private Limited

8 years

60 - 75 Lacs

navi mumbai maharashtra india

Posted:2 days ago| Platform:

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Skills Required

engineering data leadership management analytics technology marketing research finance architecture development ai empathy teamwork drive strategy vision design maintenance etl airflow kafka learning ml automation governance compliance efficiency support mentoring aws azure sql python orchestration messaging crm erp model deployment communication docker

Work Mode

On-site

Job Type

Full Time

Job Description

As a Data Engineering Manager within the Enterprise Data Platform team at company, youwill lead a team of skilled data engineers responsible for building and optimizing datapipelines, managing large-scale data models, and ensuring the quality, availability, andperformance of enterprise data assets. This leadership role combines technical depth,strategic thinking, and people management to enable company’s data-driven decisionmaking and analytics capabilities.You’ll collaborate closely with cross-functional partners across Technology & Engineering,Product, Sales, Marketing, Research, Finance, and Administration to deliver robust,scalable data solutions. The ideal candidate is a hands-on leader with a strong backgroundin modern data platforms, cloud architecture, and team development—someonepassionate about empowering teams and improving data capabilities across theorganization.This is both a strategic and hands-on leadership role: you will guide architectural decisions,mentor engineers, collaborate with cross-functional leaders, and contribute to buildingnext-generation data and AI capabilities at Company. You will exhibit a growth mindset, bewilling to solicit feedback, engage others with empathy, and help create a culture ofbelonging, teamwork, and purpose. If you love leading a team of passionate dataengineers, building data-centric solutions, strive for excellence every day, are adaptableand focused, and believe work should be fun, come join us!

Primary Job Responsibilities

Lead, mentor, retain top talent and develop a team of data engineers, fostering a

culture of excellence, accountability, and continuous improvement

Define and drive the data engineering roadmap aligned with enterprise data strategy

and business objectives

Collaborate with senior technology and business leaders to define data platform

priorities, architecture, and long-term vision

Promote a culture of innovation, operational rigor, and customer empathy within the

data organization

Oversee the design, development, and maintenance of high-quality data pipelines

and ELT/ETL workflows across enterprise systems and company's platform

Ensure scalable, secure, and reliable data architectures using modern cloud

technologies (e.g., Snowflake, Airflow, Kafka, Docker)

Lead AI learning initiatives and integrate AI/ML-driven solutions into data products

to enhance automation, predictive insights, and decision intelligence

Champion data quality, governance, lineage, and compliance standards across the

enterprise data ecosystem

Partner with engineering and infrastructure teams to optimize data storage,

compute performance, and cost efficiency

Support career development through mentoring, skill-building, and performance

feedback

Skills And Qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
8+ years of experience in data engineering or related roles, including at least 2–3

years of leadership experience managing technical teams

Proven experience designing and maintaining large-scale data architectures,

pipelines, and data models in cloud environments (e.g., Snowflake, AWS, Azure, or
GCP)

Advanced proficiency in SQL and Python for data manipulation, transformation, and

automation

Deep understanding of ETL/ELT frameworks, data orchestration tools (e.g., Airflow),

and distributed messaging systems (e.g., Kafka)

Strong knowledge of data governance, quality, and compliance frameworks
Experience working with enterprise data sources (CRM, ERP, Marketing Automation,

Financial Systems, etc.) is preferred

Hands-on experience with AI/ML platforms, model deployment, or data-driven

automation is a strong plus

Excellent communication and stakeholder management skills with the ability to

translate complex data concepts into business value

Demonstrated ability to build high-performing teams and lead through change

Skills: docker,airflow,snowflake,data engineering,enterprise data,cloud,kafka

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Engineering Manager, Enterprise Data Platform