Data Engineering Solution Lead

Mindex

City of Rochester (NY)

Hybrid

USD 105,000 - 155,000

Full time

2 hours ago

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Benefits offered by this job

Fully Remote Work Environment

Flexible Time Off

Medical, Dental, and Vision Insurance

401(k) with Company Match

Company-Paid Life and Disability

Professional Development Opportunities

Job summary

Mindex is seeking a Data Engineering Solution Lead to head a focused team migrating Informatica pipelines into Maia (Matillion) and Snowflake. You’ll own the technical design for roughly 1,500-1,700 pipelines and serve as the primary client contact, turning legacy pipelines into repeatable conversion patterns.

The role combines deep ETL/ELT architecture with strong communication and a client-first mindset, while guiding Agile teams and leveraging AI to enhance productivity and quality.

Qualifications

BS degree in Computer Science, Data Science, Engineering, or a related field.
5+ years of hands-on data engineering designing, building, and supporting ETL/ELT pipelines in complex enterprise environments.
3+ years of Snowflake experience with dynamic tables, views, performance tuning, and schema design, plus advanced SQL and Python for data processing, validation, and pipeline support.
Experience leading the technical design of a large-scale pipeline migration or platform conversion, including source-to-target mapping patterns and reusable conversion standards.
Informatica expertise and hands-on experience with Matillion or a comparable cloud-native integration platform; Informatica-to-Matillion migration experience is highly desirable.
Experience using AI to accelerate pipeline conversion at scale and setting review and verification practices for AI-generated work.
Strong testing and verification skills, including designing validation approaches and independently identifying and resolving data issues.
Experience leading and mentoring Agile engineering teams; proactive, curious, self-sufficient, and client-focused, with strong verbal and written skills for explaining technical decisions to clients, senior management, and staff.
Uses AI to augment expertise and decision-making while maintaining ownership, accountability, and professional judgment for final work products and outcomes.

Responsibilities

Own the client-approved, end-to-end design for migrating Informatica pipelines to Maia (Matillion) and Snowflake, including target architecture, orchestration, error handling, and operational standards.
Define a repeatable process to discover, classify, convert, test, and promote pipelines, and maintain a shared library of conversion patterns and high-impact reusable components.
Design connector and authentication patterns for on-premises and Azure SQL Server, files, APIs, and MongoDB.
Set testing standards and sign-off evidence, and review pipelines, test evidence, and documentation for final quality, sending work back when needed.
Scale AI-assisted conversion to increase throughput, with guardrails and review steps that protect quality.
Partner with client and Mindex stakeholders on sequencing, priorities, and cutover readiness, tying delivery to the client’s mission and business goals.
Lead day-to-day delivery with data acquisition leadership to meet tight May and June fiscal year-end milestones, escalating risks and explaining trade-offs early.
Coach and develop data engineers, which may include direct reports, and evaluate new tools, processes, and practices for the team.
Demonstrate an AI-first mindset by effectively leveraging AI-assisted tools and technologies to enhance productivity, accelerate problem-solving, improve quality, automate routine tasks, and drive innovation in the delivery of solutions and services.

Skills

ETL/ELT design

Snowflake design

SQL

Python

Informatica

Matillion

AI acceleration

Agile leadership

Communication

Cloud integration

Education

BS degree in Computer Science / Data Science / Engineering

Tools

Informatica

Matillion

Snowflake

Azure SQL Server

Job description

Mindex is looking for a Data Engineering Solution Lead to head a focused team migrating Informatica pipelines into Maia (Matillion) and Snowflake. You’ll own the technical design for roughly 1,500-1,700 pipelines, turn one-off legacy pipelines into repeatable conversion patterns, and serve as the team’s primary contact with our client. The ideal candidate pairs deep ETL/ELT architecture experience with clear communication and a client-first mindset.

We welcome candidates from a variety of locations; however, all candidates should be open to occasional in-person participation for business meetings, team events, or collaboration opportunities. Candidates located within approximately 35 miles of Rochester, NY may be asked to work from the office more frequently based on business or team needs.

Compensation

$105,000 - $155,000

What You’ll Accomplish

Own the client-approved, end-to-end design for migrating Informatica pipelines to Maia (Matillion) and Snowflake, including target architecture, orchestration, error handling, and operational standards.
Define a repeatable process to discover, classify, convert, test, and promote pipelines, and maintain a shared library of conversion patterns and high-impact reusable components.
Design connector and authentication patterns for on-premises and Azure SQL Server, files, APIs, and MongoDB.
Set testing standards and sign-off evidence, and review pipelines, test evidence, and documentation for final quality, sending work back when needed.
Scale AI-assisted conversion to increase throughput, with guardrails and review steps that protect quality.
Partner with client and Mindex stakeholders on sequencing, priorities, and cutover readiness, tying delivery to the client’s mission and business goals.
Lead day-to-day delivery with data acquisition leadership to meet tight May and June fiscal year-end milestones, escalating risks and explaining trade-offs early.
Coach and develop data engineers, which may include direct reports, and evaluate new tools, processes, and practices for the team.
Demonstrate an AI-first mindset by effectively leveraging AI-assisted tools and technologies to enhance productivity, accelerate problem-solving, improve quality, automate routine tasks, and drive innovation in the delivery of solutions and services.

Requirements

BS degree in Computer Science, Data Science, Engineering, or a related field preferred, or an equivalent combination of education and experience.
5+ years of hands-on data engineering experience designing, building, and supporting ETL/ELT pipelines in complex enterprise environments, including connector setup, authentication, and integration across diverse sources.
3+ years of Snowflake experience with dynamic tables, views, performance tuning, and schema design, plus advanced SQL and Python for data processing, validation, and pipeline support.
Experience leading the technical design of a large-scale pipeline migration or platform conversion, including source-to-target mapping patterns and reusable conversion standards.
Informatica expertise and hands-on experience with Matillion or a comparable cloud-native integration platform; Informatica-to-Matillion migration experience is highly desirable.
Experience using AI to accelerate pipeline conversion at scale and setting review and verification practices for AI-generated work.
Strong testing and verification skills, including designing validation approaches and independently identifying and resolving data issues.
Experience leading and mentoring Agile engineering teams; proactive, curious, self-sufficient, and client-focused, with strong verbal and written skills for explaining technical decisions to clients, senior management, and staff.
Uses AI to augment expertise and decision-making while maintaining ownership, accountability, and professional judgment for final work products and outcomes.
Identifies opportunities to use AI to streamline workflows, reduce manual effort, improve efficiency, and increase business value.
Maintains awareness of emerging AI capabilities, tools, and best practices and proactively identifies opportunities to apply them in the workplace.
Demonstrates sound judgment in the ethical, secure, and compliant use of AI technologies while protecting confidential, customer, and company information.

Why Join Mindex?

For more than 30 years, Mindex has helped organizations solve complex business challenges through custom software, cloud, data, and AI solutions. We combine deep technical expertise with a collaborative culture that empowers our employees to innovate, grow, and make a meaningful impact for our clients.

In our Product division, our teams have built platforms such as SchoolTool, Advanced Analytics, and our Integrations Platform from the ground up, while also supporting solutions like MTSS Edge and ClearTrack that help schools and organizations make smarter, data-driven decisions.