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Platform Engineer / Solution Architect
Platform Engineer / Solution ArchitectAkaasa Technologies • Midtown, NY, United States
Platform Engineer / Solution Architect

Platform Engineer / Solution Architect

Akaasa Technologies • Midtown, NY, United States
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Required Location : Hybrid / Midtown New York City 3 days a week.

We're seeking a seasoned (10+ YEARS, 15+ PREFERRED) 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 in a Banking or Financial services environment . 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. Candidates must have experience with production-grade catalog platform deployed (SaaS or self-managed) with SSO, RBAC, and secure network patterns as well as Automated metadata ingestion for priority sources (e.g., SQL Server, Snowflake, Databricks). Data Catalog Implementation.

  • Candidates must have recent architect level experience working with Atlan or Alation in Banking or Capital Markets

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.
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