At a Glance
- Tasks: Lead large-scale data migrations and bridge business and tech teams.
- Company: Growing IT software company focused on innovative solutions.
- Benefits: Competitive salary, flexible work options, and career advancement opportunities.
- Other info: Dynamic role with opportunities to work on complex projects.
- Why this job: Shape the future of data migration and make a real impact.
- Qualifications: Extensive data migration experience and strong skills in Databricks and SQL.
The predicted salary is between 58500 - 71500 £ per year.
A Data Migration Lead is required by a growing IT software company to lead large-scale, end-to-end data migration onto its enterprise platform. The role will entail shaping the migration approach, bridging business and technology teams, and overseeing the analysis, transformation and validation of data throughout the migration.
You will be responsible for:
- Leading end-to-end data migration activities.
- Defining and managing migration strategies, plans and approaches across multiple source and target systems.
- Profiling and analysing Legacy data to assess quality, structure and transformation requirements.
- Designing and implementing data transformation, cleansing, standardisation, deduplication and mapping processes using Databricks.
- Developing and maintaining detailed source-to-target mapping specifications, including transformation rules, key and identifier mapping, defaulting logic and data exclusions.
- Designing automated reconciliation and validation processes, including row-level and value-level checks, control totals, referential integrity and field-level validation.
- Planning and leading mock migrations, rehearsals and production cutovers, including runbooks and post-migration verification.
- Working closely with business stakeholders, Legacy SMEs and technical teams to understand business processes, define data requirements and resolve migration issues.
- Leading UAT activities and coordinating defect resolution.
- Identifying and mitigating data quality, security, regulatory and operational risks throughout the migration life cycle.
Required experience and skills:
- Extensive experience in enterprise data migration, with experience leading global migration or data transformation programmes.
- Strong hands-on experience with Databricks including Delta Lake and Unity Catalog.
- SQL and PySpark.
- Strong understanding of data mapping, data modelling, cleansing, normalisation, deduplication and entity resolution.
- Experience developing automated data reconciliation, validation and data quality checks.
- Experience migrating master and transactional finance data into a cloud ERP, including knowledge of opening balances, period controls and financial reconciliation.
- Salesforce experience will be beneficial.
- Experience working with undocumented or bespoke Legacy applications and complex source data environments.
- Software engineering experience, including version control, code review, CI/CD and automated testing for data pipelines.
- Data transformation tools experience.
- Strong stakeholder management skills, with the ability to translate complex data migration issues into clear business language.
- Experience working within North American regulatory environments would be advantageous.
Data Migration Lead/Salesforce, Databricks employer: Careerwise
As a Senior Engineer in Data Engineering, you will join a dynamic team dedicated to delivering impactful data solutions within a large-scale programme. Our company fosters a collaborative work culture that prioritises employee growth through mentorship and continuous learning opportunities, all while working in a secure environment that values innovation and excellence. Located in the UK, we offer a unique chance to contribute to significant public sector projects, ensuring your work is both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Data Migration Lead/Salesforce, Databricks
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We think you need these skills to ace Data Migration Lead/Salesforce, Databricks
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Careerwise. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Careerwise
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
