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Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
The Senior Services Advisor will lead project scopes, collaborate with stakeholders, manage client expectations, and ensure project deliverables within budget and timelines in the insurance industry.
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
The Software Engineer/Senior Software Engineer will design, develop, and deliver high-quality software while supporting team collaboration and continuous improvement. They will engage in code reviews and technical discussions.
Top Skills:
.Net/C#ApigeeDatadogGitlabJavaScriptKubernetesOpenapiReactSQL ServerTypescript
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
The Inside Sales Consultant will manage the sales cycle, consult with insurance agents, and achieve sales quotas by leveraging technology solutions.
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Data Platform Migration Lead
Location: US. Remote.
Type of contract: Temporary, TBD
Type of contract: Temporary, TBD
About Data Meaning
At Data Meaning, we help organizations turn data into actionable insights by delivering world-class solutions in Business Intelligence, Data Governance, and Analytics. Our consultants work across industries and geographies, enabling businesses to achieve impactful results.
Role Overview
We are seeking a highly experienced Data Platform Migration Lead (“Quarterback”) to drive the end-to-end modernization of our customer’s data ecosystem. This role blends expert-level Data Vault 2.0 architecture, Snowflake engineering, legacy ETL retirement, BI migration strategy, and program leadership across multiple teams and vendors.
The ideal candidate brings deep technical mastery combined with the ability to guide strategic decisions, evaluate tools, manage complex roadmaps, and orchestrate a multi-team delivery environment.
Key Responsibilities
Lead the Informatica Retirement Initiative
- Own the migration plan from Informatica Cloud to a modern landing/replication solution.
- Reverse-engineer existing Informatica mappings and translate them into Snowflake SQL, dbt, or Erwin Data Vault structures.
- Redesign ingestion patterns to support a scalable, ELT-driven architecture.
- Lead the design of Raw Vault and Business Vault layers using Erwin DI or dbt.
- Define modeling standards, patterns, and automation practices.
- Ensure consistent adoption of DV2.0 principles across team
- Rebuild core subject areas including GL, AR/AP, PO, Expenses, Time, Commissions.
- Align Business Vault outputs with downstream dimensional models and BI requirements.
- Lead evaluations of ingestion/replication tools, semantic layers, and BI platforms.
- Conduct pricing, roadmap, and capability discussions with vendors.
- Guide tool selection decisions aligned with strategic architecture goals.
- Direct sample dashboard migrations from MicroStrategy to Tableau or Power BI.
- Build cost and effort estimation models to support planning and budgeting.
- Align architectural decisions, timelines, and delivery expectations across distributed teams.
- Provide executive-level communication and ensure clear visibility into program progress.
- Expert-level Data Vault 2.0 (DV2) with hands-on hub/link/satellite modeling.
- Strong Snowflake engineering and architecture background.
- Demonstrated experience modernizing ETL → ELT pipelines.
- Proven ability to reverse-engineer Informatica Cloud mappings.
- Experience with ingestion/replication tools such as Fivetran, CData, Precog, etc.
- Erwin Data Modeler + Erwin DI automation experience.
- Exposure to dbt modeling (nice-to-have).
- Experience with semantic layers and BI tools: Tableau, Power BI, AtScale, Kyvos, Snowflake Semantic Views.
- 10+ years in data architecture, engineering, or enterprise data platforms.
- Experience with BI migrations, especially MicroStrategy → Tableau/Power BI.
- Comfort working in cross-organizational architecture governance environments.
- Experience leading technology evaluations, vendor negotiations, and platform strategy.
- Strong delivery ownership and roadmap/program management skills.
- Ability to coordinate cross-functional and distributed teams.
- Executive-level communication and stakeholder engagement skills.
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
