Data Warehouse Architect & Analytics ETL Lead

Blattner

Town of Avon (NY)

On-site

USD 101,000 - 146,000

Full time

14 days+
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Benefits offered by this job

Competitive pay
Employer-paid HDHP insurance
401(k) with company match
HSA and FSA options
Dental and Vision insurance
Tuition reimbursement
Work/Life balance
Gym on site
And more!

Job summary

Blattner is seeking a Senior Data Engineer to architect and optimize data warehouse solutions, enabling BI and analytics initiatives across the business. You will design ETL/ELT processes, ensure data integrity and performance, and deliver dashboards with Power BI or Tableau.

The role acts as a technical SME for data and analytics, collaborating with IT peers and business partners to meet operational needs and mitigate risk. Strong SQL skills are essential.

Qualifications

  • Bachelor’s degree in a technology area (CS, MIS or Analytics).
  • 5–8 years of database development focused on data warehouse design and optimization.
  • Proficiency in ETL/ELT workflows, data cleansing and loading strategies.

Responsibilities

  • Design, implement and optimize ETL/ELT workflows for MS SQL and Azure Data Factory.
  • Analyze requirements, source data and data models to drive extraction, transformation and loading.
  • Develop reports and dashboards using BI tools (Power BI/Tableau).
  • Provide technical guidance and support across BI and analytics initiatives.

Skills

Data Warehousing
ETL/ELT
SQL optimization
MS SQL Development
Data modeling

Education

Bachelor’s Degree in Computer Science / MIS / Analytics

Tools

Power BI
Tableau
Azure Data Factory
MS SQL

Job description

Blattner is seeking a Senior Data Engineer to architect and optimize data warehouse solutions, enabling BI and analytics initiatives across the business. You will design ETL/ELT processes, ensure data integrity and performance, and deliver dashboards with Power BI or Tableau.

The role acts as a technical SME for data and analytics, collaborating with IT peers and business partners to meet operational needs and mitigate risk. Strong SQL skills are essential.

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