Delivery Lead - Data Engineering & Data Platforms (FP&A Focus)

First Soft Solutions
Minneapolis, United States of America
31 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 286K

Job location

Minneapolis, United States of America

Tech stack

Agile Methodologies
Amazon Web Services (AWS)
Business Analytics Applications
Data analysis
Big Data
Cloud Computing
Data Architecture
Information Engineering
Data Governance
Data Infrastructure
Data Integration
ETL
Data Transformation
Data Mining
Data Systems
Data Visualization
Data Warehousing
Database Development
DevOps
Dimensional Modeling
Linear Regression
Machine Learning
Meta-Data Management
Natural Language Processing
Oracle
Oracle Applications
Performance Tuning
Power BI
Cloud Services
Standard Sql
Unstructured Data
Enterprise Data Management
Snowflake
Deep Learning
Information Technology
Data Management
Data Pipelines

Job description

We are seeking an experienced Delivery Lead Data Engineering & Data Platforms with strong Financial Planning & Analysis (FP&A) domain expertise to lead the design, delivery, and modernization of enterprise data platforms. This is a hands-on leadership role requiring a blend of technical depth, delivery management, stakeholder engagement, and strategic data architecture experience., * Lead end-to-end delivery of enterprise data engineering and data platform initiatives.

  • Partner with FP&A, Finance, and executive leadership teams to translate business requirements into scalable data solutions.
  • Design and implement modern data architectures supporting analytics, reporting, forecasting, and machine learning workloads.
  • Drive data integration, data modeling, data governance, and data quality initiatives across multiple source systems.
  • Architect and oversee large-scale data transformation programs involving structured and unstructured data.
  • Lead development teams in building robust ETL/ELT pipelines and cloud-native data solutions.
  • Ensure delivery excellence through effective planning, execution, risk management, and stakeholder communication.
  • Collaborate with business and technical teams to establish data standards, best practices, and reusable frameworks.
  • Provide technical leadership and mentorship to data engineers, architects, and analysts.
  • Present technical and business solutions to senior executives and key stakeholders.

Requirements

The ideal candidate will possess extensive experience in data engineering, analytics platforms, cloud technologies, and enterprise-scale data transformation initiatives. The role requires close collaboration with senior business executives, finance leadership, data teams, and technology stakeholders to deliver scalable, high-performance data solutions that support financial planning, forecasting, reporting, and advanced analytics., * 20 25 years of overall experience in Information Technology services across multiple industries.

  • Proven experience leading enterprise-scale data engineering and analytics programs.
  • Strong experience working directly with senior executives and business stakeholders.
  • Demonstrated experience delivering FP&A, financial reporting, forecasting, and analytics solutions.

Data Engineering & Architecture

  • 8 10 years of experience designing and implementing enterprise data platform architectures.

  • Strong expertise in:

  • Data Engineering

  • Big Data Platforms

  • Machine Learning

  • Deep Learning

  • Natural Language Processing (NLP)

  • Time Series Analysis

  • Data Mining

  • Optimization & Simulation

  • Linear and Non-Linear Modeling

Extensive experience with:

  • Snowflake
  • Oracle Database
  • SQL Development and Performance Optimization

Data Integration & Analytics

  • 5+ years of experience designing and implementing data consolidation and conformance solutions across disparate enterprise data sources.
  • Strong understanding of enterprise data warehousing, dimensional modeling, and analytical data structures.
  • Experience supporting advanced analytics, reporting, and business intelligence initiatives.

Cloud Technologies

  • 3+ years of hands-on experience with AWS cloud services.
  • Experience designing scalable cloud-native data platforms and data pipelines.

Preferred Qualifications

  • Experience with Informatica Intelligent Cloud Services (IICS).
  • Experience building high-volume ETL/ELT data pipelines.
  • Strong hands-on experience with Power BI development, dashboards, and data visualization.
  • Experience implementing modern data governance, metadata management, and data quality frameworks.
  • Knowledge of Agile delivery methodologies and DevOps practices for data platforms., * FP&A Domain Expertise
  • Data Engineering
  • Data Platform Architecture
  • Snowflake
  • Oracle
  • SQL
  • AWS Cloud
  • Data Warehousing
  • Data Modeling
  • ETL/ELT Development
  • Executive Stakeholder Management
  • Program & Delivery Leadership

Preferred Skills

  • Informatica Intelligent Cloud Services (IICS)
  • Power BI
  • Machine Learning & AI Platforms
  • Big Data Technologies
  • Advanced Analytics & Forecasting

Soft Skills

  • Exceptional communication and presentation skills.
  • Strong executive presence with the ability to engage C-level stakeholders.
  • Strategic thinking combined with hands-on technical leadership.
  • Proven ability to lead cross-functional teams in complex enterprise environments.
  • Strong problem-solving and decision-making capabilities

Benefits & conditions

The pay range is $132,000.00 - $286,000.00 Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, …

  • 4 days ago

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