Delivery Project Lead

Mphasis

$120K — $160K *
Finance & Insurance
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 12+ years of strong experience in Enterprise Architecture
  • Strong experience as a Data Architect in enterprise environments
  • Expertise in data modeling (ER, dimensional, domain-driven)
  • Strong knowledge of RDBMS and NoSQL data stores
  • Experience designing data platforms on cloud (Snowflake / AWS / Azure)
  • Strong understanding of ETL/ELT, batch and streaming architectures
  • Proficiency in tools like Informatica, Oracle, Postgres, SQL Server, Cassandra, MongoDB, and modeling tools like ERwin.

Responsibilities

  • Define and maintain enterprise architecture frameworks, standards, and roadmaps
  • Align business goals with technology and platform strategy
  • Design scalable, secure enterprise solutions across cloud, data, and applications
  • Lead architecture reviews and ensure compliance with EA principles
  • Guide solution architects and delivery teams on architectural decisions
  • Evaluate emerging technologies and recommend adoption strategies
  • Collaborate with stakeholders to drive transformation initiatives
  • Act as security advisor to delivery teams and stakeholders.

Benefits

  • Opportunities for professional growth and development
  • Collaborative work environment
  • Access to cutting-edge technology and tools
  • Engagement in high-impact projects
  • Flexible work arrangements available.
Full Job Description
Role description

Position Title: Data Architect

Location: Texas/New York

Role summary:

The Data Architect is responsible for defining, designing, and governing enterprise data architecture, ensuring scalable, secure, and analytics-ready data platforms. The role bridges business requirements and technical implementation, guiding data modeling, integration patterns, and platform standards across cloud and on-prem data ecosystems.

Required Skills & Experience

Core Skills
  • 12+ years of Strong experience in Enterprise Architecture
  • Strong experience as a Data Architect in enterprise environments
  • Expertise in data modeling (ER, dimensional, domain-driven)
  • Strong knowledge of RDBMS and NoSQL data stores
  • Experience designing data platforms on cloud (Snowflake / AWS / Azure)
  • Strong understanding of ETL/ELT, batch and streaming architectures
  • Tools: Snowflake (or equivalent cloud DW), Informatica (ETL, DQ/DG, MDM), RDBMS: Oracle, Postgres, SQL Server, NoSQL: Cassandra, MongoDB, Modeling tools (ERwin, similar), JIRA / Confluence

Preferred / Nice-to-Have
  • Experience with Informatica DQ/DG and MDM
  • Insurance / Financial Services domain exposure
  • Experience with Kafka / streaming platforms
  • Knowledge of CAP theorem and distributed systems

Key Responsibilities
  • Define and maintain enterprise architecture frameworks, standards, and roadmaps
  • Align business goals with technology and platform strategy
  • Design scalable, secure enterprise solutions (cloud, data, applications)
  • Lead architecture reviews and ensure compliance with EA principles
  • Guide solution architects and delivery teams on architectural decisions
  • Evaluate emerging technologies and recommend adoption strategies
  • Collaborate with stakeholders to drive transformation initiatives
  • Act as security advisor to delivery teams and stakeholders

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