Database Architect / Engineer (MongoDB / Atlas)

Role Overview:

The Database Architect & Strategy Lead will assess our current homegrown data operations and model, then architect and execute a transformation to best-in-class modern data infrastructure. This role requires someone who can bridge the gap between where we are today and where we need to beevaluating existing systems, designing the future state, and creating a practical roadmap that delivers incremental value at every step. You'll lead the transition from custom-built tooling to industry-standard platforms like dbt, modern orchestration frameworks, and cloud-native data services, while ensuring reliability and scalability improve continuously throughout the journey. The role will also directly address the client-stated Core Stability need around MongoDB and MongoDB Atlas: improving uptime, performance, scalability, data modeling, and architecture decisions across Azure with some AWS exposure.

This isn't a typical "greenfield" architecture role. You'll need to deeply understand our existing data workflows, identify what's working and what's not, and make pragmatic decisions about modernization that balance technical excellence with business continuity. You'll work closely with engineering, product, and business teams to prioritize improvements that deliver measurable impact early and often. If you're passionate about taking organizations from homegrown systems to modern data platforms through thoughtful, incremental transformation, this role is for you.

Core Stack:

• Primary stack: MongoDB, MongoDB Atlas, Azure, with limited AWS exposure.
• Primary gap addressed: MongoDB uptime, performance tuning, scalability, and data architecture decisions for Labs and Core Stability.
• Expected focus: assess current MongoDB deployment and data access patterns, recommend Atlas best practices, improve observability, and guide pragmatic modernization without disrupting existing workflows.

About Teqfocus

Teqfocus is a Data and AI company that helps enterprises build and scale the Agentic Enterprise connecting the data foundation, the intelligence layer, and the applications teams run their businesses on into a single, coherent architecture.

As a Salesforce Summit Partner, we work in Healthcare, Life Sciences, Financial Services, Insurance, and Hi-Tech industries where getting AI right matters and the tolerance for failure is low. Our delivery model is senior-heavy by design. The same team that scopes an engagement ships it to production. There are no junior shadow teams, no sub-contractors brought in when the problem gets hard, and no hand-off to a separate managed services vendor when the project closes.

We run an internal innovation practice that builds the reusable patterns, pre-tested architectures, and industry-specific frameworks that give every Teqfocus client a head start and give every Teqfocus practitioner work that compounds over time.

We are a diverse, immigrant-entrepreneurial company. We were built on the conviction that the best outcomes come from people who take genuine ownership of what they build and are trusted to do so.

www.teqfocus.com

Location - Hybrid - Pune/Ranchi/Bengaluru

Key Responsibilties:

Assessment & Strategy

• Conduct comprehensive review of existing homegrown data operations, pipelines, and data models
• Assess existing MongoDB / MongoDB Atlas usage, including schema design, indexing strategy, query patterns, replication, backup/restore, monitoring, and availability posture.
• Identify technical debt, bottlenecks, and areas requiring immediate attention versus long-term improvement
• Design future-state architecture leveraging modern data stack technologies (dbt, Airflow/Prefect, cloud data warehouses, etc.)
• Define the MongoDB / Atlas target architecture for Labs and Core Stability, including performance tuning, scaling approach, uptime targets, and operational guardrails.
• Create tactical and strategic roadmaps that deliver incremental value while building toward the target architecture
• Establish data architecture standards and governance practices aligned with industry best practices

Modernization & Implementation

• Lead migration from homegrown tooling to best-in-class data engineering platforms and frameworks
• Lead improvements to MongoDB / Atlas reliability and performance, including indexing, query optimization, data lifecycle strategy, and cost-aware cloud configuration.
• Design and implement modern data pipelines, transformations, and orchestration workflows
• Architect scalable, reliable data infrastructure that supports growing business needs
• Champion adoption of modern data tools while ensuring backwards compatibility during transition
• Balance "build vs. buy" decisions with focus on leveraging proven solutions over custom development

Technical Leadership & Delivery

• Drive hands-on implementation of critical data infrastructure improvements
• Partner with engineering teams on MongoDB production issues, performance bottlenecks, architecture reviews, and stability-focused remediation plans.
• Establish testing, monitoring, and data quality frameworks for production systems
• Mentor engineers on modern data practices, tooling, and architectural patterns
• Collaborate with cross-functional teams to ensure data solutions meet business requirements
• Ensure data systems meet strict performance, reliability, and scalability standards

Continuous Improvement

• Prioritize improvements that deliver measurable business value early and frequently
• Establish metrics and observability for data pipeline health and performance
• Establish MongoDB / Atlas health dashboards and operating metrics covering uptime, slow queries, index usage, replication lag, storage growth, backups, and incident trends.
• Build feedback loops with stakeholders to validate architecture decisions and adjust course as needed
• Document architectural decisions, patterns, and standards for team adoption

Qualification:

• 8+ years of experience in data engineering, database architecture, or analytics engineering with 3+ years in senior/lead roles
• Proven track record of modernizing legacy data systems and migrating from homegrown to industry-standard tooling
• Deep expertise with modern data stack: dbt, cloud data warehouses (Snowflake, BigQuery, Redshift), orchestration tools (Airflow, Prefect, Dagster)
• Strong experience with both SQL and NoSQL databases, with specific hands-on depth in MongoDB / MongoDB Atlas, data modeling, schema design, indexing, and performance optimization.
• Experience operating or advising production MongoDB environments with emphasis on uptime, scalability, backup/restore, monitoring, and incident prevention.
• Hands-on experience designing and implementing ELT/ETL pipelines at scale
• Demonstrated ability to create incremental migration strategies that minimize disruption while delivering continuous value
• Experience with cloud platforms, especially Azure and some AWS, plus cloud-native data services and MongoDB Atlas cloud operations.
• Strong understanding of data quality, testing, and monitoring practices
• Excellent communication skills for translating technical concepts to business stakeholders and building consensus around architectural decisions
• Pragmatic problem-solver who balances technical excellence with practical delivery constraints

Nice To Have:

• Experience with Azure ecosystem (Azure Data Factory, Synapse Analytics, Azure Functions, Event Grid)
• MongoDB Atlas administration, performance tuning, schema design, indexing, aggregation pipelines, Atlas Search, backup/restore, and/or MongoDB certification.
• Background in B2B SaaS or construction/manufacturing domain
• Experience with real-time data processing and event-driven architectures
• Knowledge of data governance frameworks and compliance requirements (SOC 2)
• Familiarity with reverse ETL and operational analytics patterns
• Experience with data cataloging and metadata management tools
• Contributions to open source data engineering projects
• Track record of establishing data engineering standards across teams
• Experience mentoring data engineers on modern practices and tooling
• Background in both transactional and analytical data systems

What We Offer

• Competitive CTC with performance-based incentives
• Transparent compensation and standard benefits (PF, Gratuity, HRA, etc.)
• Medical, accident, and life insurance coverage
• Wellness and EAP support
• Paid leaves and public holidays
• Hybrid/remote flexibility based on role
• Direct client exposure across US & Canada
• Opportunities in architecture, innovation, and global projects
• Sponsored certifications and continuous learning
• Fast-paced, ownership-driven culture
• Flat hierarchy with direct leadership access
• Collaborative global team environment

The agentic enterprise is not a future state. It is being built right now, on live production systems, for real clients. If you want to be one of the practitioners building it this is the right place. Apply Now!!!