Data Migration Specialist (3 Months Contract)
Role details
Job location
Tech stack
Job description
Monolith AI is seeking a talented Software Developer for an intensive 3-month migration project
transitioning existing client environments to our next-generation platform. This role requires a
developer who excels at rapidly understanding undocumented systems, extracting clarity from
complex database structures, and building practical migration tooling in Python. You'll work closely
with our 15-person technical team (currently doubling), collaborating extensively with Customer
Success and Product to ensure migrations meet defined business requirements while maintaining
high velocity.
Primary Responsibilities
- Rapid System Understanding
- Quickly grasp existing PostgreSQL database schemas through code inspection, team
discussions, and reverse engineering
- Understand new platform database architecture and how legacy data maps to the new
structure
- Work with pickle files and S3 object storage to understand serialized data structures
- Extract clarity from poorly documented legacy systems through hands-on
investigation
- Cross-Functional Requirements Gathering
- Collaborate with Customer Success to understand client migration requirements and
acceptance criteria
- Partner with Product team to define and iterate on what constitutes acceptable
migration outcomes
- Balance technical constraints with business needs to establish pragmatic migration
standards
- Clarify ambiguous requirements and drive decisions on edge cases and trade-offs
- Product Context & Impact Analysis Understand how database entries and S3-stored objects drive UI behavior and user
workflows
- Work with the existing team to learn system behavior through discussions and
knowledge transfer
- Identify how legacy data structures distribute across new platform tables and storage
- Migration Tool Development
- Build Python migration scripts to convert legacy notebooks to the new platform
format
- Work with Flask and FastAPI layers to understand API interactions and data flow
- Handle pickle file deserialization and data transformation logic
- Implement validation against defined Customer Success requirements (not 100%
data integrity)
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Velocity & Communication Management
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Maintain rapid project pace with tight 3-month timeline
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Provide frequent progress updates to the tech lead on development speed and
blockers
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Proactively communicate risks, timeline concerns, and decision points
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Make pragmatic technical decisions that balance quality with delivery speed
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Testing & Validation Against Requirements
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Test migration outputs against Customer Success acceptance criteria
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Validate migrated notebooks meet defined business requirements
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Identify and communicate gaps between migration output and requirements for
product decisions
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Process Documentation & Knowledge Transfer
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Document the migration process, key decisions, and data mapping logic
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Create runbooks for executing migrations and handling common issues
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Transfer knowledge primarily through discussions with the existing team
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Prepare materials enabling team to execute and troubleshoot migrations post-contract
Key Performance Indicators
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Migration Meets Defined Requirements Deliver migrations that satisfy Customer Success acceptance criteria
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Successfully validate migrated notebooks against agreed-upon business requirements
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Project Timeline Adherence
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Meet aggressive 3-month delivery timeline for functional migration tooling
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Maintain high velocity while communicating openly about progress with tech lead
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Effective Cross-Functional Collaboration
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Successfully partner with Customer Success and Product to clarify and iterate on
migration criteria
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Drive timely decisions on requirements and edge cases to avoid project delays
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Code Quality & Maintainability
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Produce clean, maintainable Python code that the team can support post-contract
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Create clear documentation enabling team execution of migration processes
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Communication & Knowledge Transfer
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Provide consistent progress updates and flag blockers early
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Successfully transfer migration knowledge to existing team through discussions and
documentation
Requirements
Do you have experience in Software development?, * 3+ years of professional software development experience
- 2+ years working with Python in production environments
- Experience working with PostgreSQL databases and complex data structures
- Demonstrated ability to reverse engineer and understand undocumented systems
- Previous work in fast-paced, deadline-driven environments
Technical Skills* Programming:
Strong Python proficiency including handling pickle files, data processing,
and object serialization
- Databases: Solid understanding of PostgreSQL including complex data structures,
relationships, and schema interpretation
- APIs: Familiarity with Flask and/or FastAPI frameworks and RESTful API concepts
- Cloud Storage: Experience with S3 or similar object storage services for reading/writing
data
- System Investigation: Ability to read and understand existing codebases to extract system
behavior
- Version Control: Proficiency with Git and collaborative development workflows
Preferred Qualifications
- Experience with data migration or system modernization projects
- Background working with legacy systems or technical debt remediation
- Familiarity with Jupyter notebooks or similar computational environments
- Previous contract or consulting roles requiring rapid onboarding
- Experience in startup or scale-up environments with evolving requirements
- Knowledge of data serialization formats and their trade-offs
- Prior work extracting understanding from poorly documented codebases
- Experience balancing technical perfection with business pragmatism
Necessary Soft Skills
Communication Excellence
- Critical for this role: Exceptional verbal communication for knowledge transfer through
discussions
- Clear articulation of technical concepts to non-technical stakeholders (Customer Success,
Product)
- Proactive in providing progress updates and surfacing blockers to tech lead
- Comfortable driving conversations to clarify ambiguous requirements and make decisions
- Strong active listening skills for extracting knowledge from existing team members
Rapid Learning & System Investigation
- Ability to quickly understand complex, undocumented systems through code inspection and
experimentation
- Comfortable with ambiguity and extracting clarity from incomplete information
- Pattern recognition for understanding how disparate code and data relate to system behavior
- Resourceful problem-solver who can piece together understanding from multiple sources
Velocity & Pragmatism
- Thrives in fast-paced environments with tight deadlines (3-month delivery window)
- Makes practical trade-offs between thoroughness and speed appropriately
- Knows when "good enough" meets requirements vs. when additional rigor is needed
- Self-directed with strong bias toward action and delivery
Collaboration & Stakeholder Management
- Partners effectively with Customer Success to understand business requirements
- Works iteratively with Product to define acceptable migration outcomes
- Team player who actively engages with tech lead and existing engineers
- Builds relationships quickly to facilitate knowledge transfer
Adaptability & Ownership
- Comfortable with evolving requirements and criteria as project progresses
- Takes full ownership of deliverables despite short contract timeline
- Flexible in approach when new information changes understanding
- Maintains composure and productivity in dynamic, growing organization (team doubling)
Results-Oriented Mindset
- Focuses on meeting defined business requirements rather than technical perfection
- Prioritizes work that directly impacts migration success and timeline
- Transparent about what's achievable within timeline constraints
- Accountable for commitments and proactive when risks emerge
Key Challenges in This Role
- Extracting Understanding from Undocumented Legacy System
- Must rapidly reverse engineer and understand complex PostgreSQL schemas and S3
object structures with limited documentation, requiring strong investigative skills
and ability to learn through code inspection and team discussions
- Balancing Speed with Quality in Tight Timeline
- Two-month delivery window requires making pragmatic decisions about what to
build vs. what to defer, while ensuring migrations meet Customer Success
requirements-demands constant communication with tech lead about velocity and
trade-offs
- Navigating Requirements Through Multiple Stakeholders
- Must work with Customer Success to understand business needs, Product to define
acceptance criteria, and engineering to understand technical constraints-all while
maintaining project momentum and driving timely decisions on edge cases