This position is posted by Jobgether on behalf of a partner company. We are currently looking for an
Engineering Manager - Data Engineering
in
India
.We are seeking a highly skilled and experienced leader to manage and grow a high-performing data engineering team. In this role, you will drive the development of scalable, innovative data products that serve both internal stakeholders and external customers. You will oversee data pipelines, analytics platforms, and data-driven solutions while fostering a culture of technical excellence and collaboration. Working closely with Product, Engineering, and Analytics teams, you will define and execute the data roadmap, implement AI-driven solutions, and ensure high standards for data quality, reliability, and security. This is a hands-on leadership position where you will balance strategic vision with technical execution, making a direct impact on the company’s operations and data-driven offerings.
Accountabilities
- Define and execute the data engineering roadmap, building both internal and customer-facing data products.
- Lead, mentor, and grow a team of data engineers, promoting technical excellence, collaboration, and innovation.
- Architect and design scalable data models, pipelines, and platforms in partnership with cross-functional teams.
- Drive the application of AI and advanced analytics in data products and operational processes.
- Ensure data quality, observability, and security across all systems and platforms.
- Collaborate across teams to communicate strategy, set technical standards, and align on key initiatives.
- Maintain hands-on involvement in coding and technical decision-making to guide best practices.
Requirements
- Bachelor’s degree or higher in Computer Science, Mathematics, Statistics, or related quantitative field.
- 10+ years of experience in data engineering and 3+ years in a leadership or management role.
- Expertise in data engineering tools and technologies including dBt, Snowflake, Airflow, AWS, PySpark, SQL, and Python.
- Strong experience with data observability, monitoring, and operational best practices.
- Proven ability to build and scale teams while fostering an inclusive and collaborative environment.
- Excellent communication, planning, and roadmapping skills to align technical and business objectives.
- Hands-on experience in designing scalable data architectures and analytics solutions.
- Experience working in fast-paced, innovative environments is preferred.
Benefits
- Competitive salary and benefits package.
- Fully remote work with flexible hours.
- Opportunity to lead a high-impact data engineering team.
- Collaborative, innovative, and inclusive work culture.
- Direct influence on shaping the company’s data strategy and products.
- Exposure to cutting-edge data technologies and AI applications.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.Thank you for your interest!By submitting an application to this posting, the applicant acknowledges that Jobgether will process their personal data as necessary to evaluate their candidacy, provide feedback, and, when appropriate, share relevant information with potential employers. Such processing is carried out on the basis of legitimate interest and pre-contractual measures in accordance with applicable data protection laws. The applicant may exercise their rights of access, rectification, erasure, and objection at any time as provided under the GDPR.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
