Platform Engineer, Solution Architect

Client : StevenDouglas

End Client : Mayfair Capital

Required Location : Hybrid / Midtown New York City 3 days a week.

Rate : $90 / hour on c2c / 1099

Interview Required : Video

Candidate Visa's Accepted : No Opt.

Candidates must be LOCAL to the NEW YORK or NEW JERSEY area and COMMUTE into the office THREE TIMES A WEEK . NO RELOCATION CONSIDERED .

• Please send candidates even if they are over the target rate. The Client is flexible.
• PLEASE Only send me candidates in the NY / NJ area Open to hybrid.
• Please make sure that each submittal includes :

1. Driver's license or State ID

2. Link to the candidates LinkedIn account.

3. Below submittal Format

• Candidate Must Have's on a resume and for submittal :

1. How many years working with : Platform Engineer / Solution Architect

2. How many years working with : lead the end to end implementation and adoption of a modern data catalog and metadata platform, such as Atlan or Alation in a Banking

3. How many years working with : Automated metadata ingestion

4. How many years working with : Banking or Financial services

5. How many years working with : SQL Server, Snowflake, Databricks). Data Catalog Implementation

• Please provide all the below Submittal Format details with each submittal. It is required for the client Management system.

Full Name : Rate :

Location :

Availability to Interview : One Day's notice

Availability to Start :

Email Address :

Phone Number :

Visa Status :

Education - College / Year of graduation :

Link to LinkedIn?

Certifications (Please list)?

Job Description :

Platform Engineer / Solution Architect - Data Catalog Implementation (Atlan or Alation)

Role Summary

We're seeking a seasoned Platform Engineer / Solution Architect to lead the end to end implementation and adoption of a modern data catalog and metadata platform, such as Atlan or Alation . You will architect the solution, integrate it with our data ecosystem (warehouses, pipelines, BI, ML), operationalize metadata ingestion and lineage, drive governance and security, and enable organization-wide adoption through automation, training, and change management.

This role blends deep technical engineering and pragmatic architecture with product-minded thinking and stakeholder leadership.

Key Outcomes (First 12 Months)

Production-grade catalog platform deployed (SaaS or self-managed) with SSO, RBAC, and secure network patterns.

Automated metadata ingestion for priority sources (e.g., SQL Server, Snowflake, Databricks).

End-to-end lineage capability operationalized across application data pipelines and BI reporting tools.

Capability to build a business glossary, stewardship workflows, and metadata templates for critical domains.

CI / CD for connectors, policies, and configuration as code.

Capability to monitor adoption metrics implemented (active users, curated assets, coverage, search-to-click, trust flags).

Responsibilities

Experience : 10+ years in data / platform engineering or solution architecture; 3+ years implementing data catalog / metadata platforms (e.g., Atlan, Alation), including connectors, lineage, governance workflows, and adoption.

Data Stack & Integration : Proficiency with warehouses / lakes (Snowflake, Databricks), databases (SQL Server), pipelines (ADF, SSIS), BI (Power BI), and APIs.

Programming : Strong SQL and Python; scripting and automation for ingestion / enrichment; familiarity with SDKs / APIs.

Governance & Metadata : Business glossary / taxonomy, ownership / stewardship models, policy workflows; metadata modeling and enrichment.

DevOps / IaC : Terraform, configuration-as-code, CI / CD (GitHub Actions / GitLab CI / Azure DevOps), platform monitoring and incident response.

Soft Skills : Excellent communication, stakeholder management, and product mindset to translate governance into practical solutions.

Qualifications

Catalog implementation expertise (Atlan / Alation) : Environment design (prod / non-prod), metadata model / glossary / taxonomy, custom metadata templates, lineage capture, and custom enrichment pipelines / processors.

Integration & connectors : Metadata ingestion from data platforms (Snowflake, Databricks, SQL Server); pipelines (ADF, SSIS); BI tools (Tableau, Power BI).

Lineage & observability : setup and integration; alerting, and incident response; monitoring

Data governance & policy enforcement : operationalize via catalog workflows, approvals, stewardship assignments, and role-based access (RBAC / ABAC).

Security & compliance : SSO with SAML / OIDC, user provisioning, data masking policies, audit logging and evidence collection.

Change Management : process implementation for DEV, QA, UA, PROD environments

Reliability & performance : Capacity planning, scaling ingest jobs, tuning crawlers, search / index performance, and backup / restore and disaster recovery for catalog components.

Soft Skills

Exceptional communication and stakeholder management across engineering, analytics, and business.

Ability to translate governance requirements into pragmatic technical solutions.

Product mindset : iterate with feedback, measure adoption, and drive value.