Data Platform Migration Lead

Data Meaning; Teletrabalho; BRL 546.000 - 656.000; Tempo parcial

Resumo da oferta

A data solutions consultancy in Brazil seeks a highly experienced Data Platform Migration Lead to modernize clients' data ecosystems. This role encompasses Data Vault 2.0 architecture and Snowflake engineering, focusing on complex data migrations while ensuring cross-team coordination. Ideal candidates will have over 10 years in data architecture and proven abilities in tool selection and vendor management. Strong communication skills and leadership capabilities are essential for successful program delivery.

Qualificações

• 10+ years in data architecture, engineering, or enterprise data platforms.
• Comfort working in cross‑organizational architecture governance environments.
• Strong delivery ownership and roadmap/program management skills.

Responsabilidades

• Own the migration plan from Informatica Cloud to modern solutions.
• Lead the design of Data Vault implementation using Erwin DI or dbt.
• Align architectural decisions across distributed teams.

Conhecimentos

Expert‑level Data Vault 2.0 modeling

Strong Snowflake engineering

Modernizing ETL → ELT pipelines

Reverse‑engineering Informatica Cloud mappings

Ingestion/replication tools like Fivetran

Experience with BI tools like Tableau

Program management skills

Ferramentas

MicroStrategy

Tableau

Power BI

Erwin Data Modeler

dbt

Descrição da oferta de emprego

Data Platform Migration Lead

Location: US. Remote.
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.

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.

Architect & Govern Data Vault 2.0 Implementation

• 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.

Oversee Dimensional Model Rebuild

• Rebuild core subject areas including GL, AR/AP, PO, Expenses, Time, Commissions.
• Align Business Vault outputs with downstream dimensional models and BI requirements.

Vendor Management & Tool Evaluation

• 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.

BI Migration Strategy & Estimation

• Direct sample dashboard migrations from MicroStrategy to Tableau or Power BI.
• Build cost and effort estimation models to support planning and budgeting.

Cross‑Team Coordination & Program Leadership

• Align architectural decisions, timelines, and delivery expectations across distributed teams.
• Provide executive‑level communication and ensure clear visibility into program progress.

Requirements

• 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.