Job Description
The organisation is seeking a qualified Data Infrastructure Architect to support ongoing initiatives in Data Engineering. This is a senior level opening based out of Remote (Pan India), offered on a hybrid basis.
The ideal candidate holds BCA and brings roughly 11 years of hands-on exposure to data engineering. Day-to-day, the work draws heavily on Data Engineering, CI/CD Pipelines, Java/Python/JavaScript, Cloud Deployment, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 42.6-90.3 LPA, in line with market standards for senior level roles within application development / software applications.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. The next logical step from this position is a senior or lead-track role within the same function.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. The package is structured with a fixed component, performance bonus, and standard health coverage. Internal job postings are open to employees who've completed a minimum tenure in their current role.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
This role offers a genuine opportunity to build depth in Data Engineering while working alongside an experienced team.
The ideal candidate holds BCA and brings roughly 11 years of hands-on exposure to data engineering. Day-to-day, the work draws heavily on Data Engineering, CI/CD Pipelines, Java/Python/JavaScript, Cloud Deployment, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 42.6-90.3 LPA, in line with market standards for senior level roles within application development / software applications.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. The next logical step from this position is a senior or lead-track role within the same function.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. The package is structured with a fixed component, performance bonus, and standard health coverage. Internal job postings are open to employees who've completed a minimum tenure in their current role.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
This role offers a genuine opportunity to build depth in Data Engineering while working alongside an experienced team.