WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
Back

Data Lineage Solution Architect

Eversoft Technologies LLC
Charlotte, United States
17 days ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Application Programming Interfaces (APIs) Cloud Computing Databases Data Architecture Information Engineering Data Governance Extract Transform Load (ETL) Data Mining Meta-Data Management Metadata Standards Standard Sql Data Streaming
+8 more
Enterprise Data Management Snowflake Microsoft Fabric Data Lineage Collibra AWS Glue Software Coding Databricks

Job description

  • Own end-to-end Data Lineage architecture and solution design.
  • Define canonical data models and metadata standards.
  • Design data extraction and lineage strategies across enterprise systems.
  • Act as Design Authority and conduct architecture/design reviews.
  • Define technical integration patterns, APIs, and data flows.
  • Establish coding standards, best practices, and solution quality.
  • Collaborate with Data Engineering, Data Governance, Application, and Cloud teams.
  • Ensure solutions are scalable, secure, reliable, and maintainable.

Requirements

  • 13+ years in Data Architecture / Solution Architecture / Data Engineering.
  • Strong Data Lineage, Metadata Management, Data Modeling, and ETL/ELT experience.
  • Experience with enterprise data platforms, databases, APIs, and cloud technologies.
  • Strong SQL and architecture documentation skills.
  • Excellent technical leadership and stakeholder management.

Preferred: Collibra, Informatica, Alation, Microsoft Purview, Snowflake, Databricks, AWS Glue, DBT, or similar technologies.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

55 sec

Validating data processing architectures via containerized events

Modood Alvi · World Congress 2025

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:57 min

Analyzing legacy systems using software data

Markus Harrer Markus Harrer · World Congress 2021

4:01 min

Managing application isolation via pluggable database models

Wei Hu Wei Hu · World Congress 2022

1:52 min

Evolution of distributed SQL database management systems

Akmal Chaudhri Akmal Chaudhri · LIVE

Videos

See all
How we built an AI-powered code reviewer in 80 hours thumbnail
28:07
World Congress 2025 • about 1 year ago

How we built an AI-powered code reviewer in 80 hours

Yan Cui

Kubernetes and Microservices with Multi-Model Databases thumbnail
29:30
World Congress 2022 • about 4 years ago

Kubernetes and Microservices with Multi-Model Databases

Wei Hu

Modern Data Architectures need Software Engineering thumbnail
29:25
World Congress 2024 • about 2 years ago

Modern Data Architectures need Software Engineering

Matthias Niehoff

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases thumbnail
32:46
World Congress 2024 • about 2 years ago

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases

Wei Hu

Tips, Techniques, and Common Pitfalls Debugging Kafka thumbnail
54:29
LIVE • over 2 years ago

Tips, Techniques, and Common Pitfalls Debugging Kafka

Developersteve

From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • about 2 months ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

Related articles

See all