Lead BI Developer

Slalom Inc

Seattle, WA

JOB DETAILS
SKILLS
Amazon Web Services (AWS), Apache, Apache Kafka, Apache Spark, Artificial Intelligence (AI), Big Data, Business Intelligence, Cloud Computing, Consulting, Customer Experience, Data Analysis, Data Warehousing, Database Technology, Electronic Medical Records, Government, Java, Leadership, LinkedIn, Machine Learning, Microsoft Windows Azure, MongoDB, NoSQL, Object Oriented (OO), Operational Improvement, Power BI, Process Improvement, Product Engineering, Programming Languages, Python Programming/Scripting Language, Snowflake Schema, Tableau, Team Player, Technical Support, Time Management
LOCATION
Seattle, WA
POSTED
30+ days ago

General Information

Locations

  • Guadalajara, MEX

Business Function

Data & analytics

Date posted

Tuesday, February 24, 2026

Ref #

577

Description and Requirements

Job Description

  • This role requires 3 days working in office. *

Who You'll Work With

At Slalom, we co-create custom software, data and cloud products with clients who are ready to accelerate their digital transformation. We're passionate about technology, compelled by its potential as we help create the digital products, experiences, and technology-driven organizations that drive true change. We're thrilled by the opportunity to build the future we want to see, with anyone willing to join us.

Slalom's Data Architecture & Engineering team is focused on injecting intelligence into products, engineering systems that support learning and insight and creating innovative data products. Within Data Engineering we help customers build world-class products through effective use of:

  • Data Engineering consisting of streaming / real-time data solutions, modern data platforms and data systems within products (i.e., database systems, graph databases, key-value stores, document databases and transactional systems)
  • Data Visualization
  • Machine Learning and Artificial Intelligence

What You'll Do

Slalom's Data Architecture & Engineering team is comprised of passionate, flexible technologists who love to practice and hone their craft. As tools evolve and technologies emerge, we work to stay in front of innovations in data platform development and delivery.

As a Lead Data Engineer for Slalom, you will work in teams with minimal oversight and direction to deliver innovative solutions on Amazon Web Services, Microsoft Azure, and Google Cloud Platform using core cloud data warehouse tools, distributed processing engines, event streaming platforms, and other modern data related technologies. In addition to building the next generation of data platforms, you will be working with some of the most forward-thinking organizations in data and analytics.

You will typically work with a Solution Architect to help design and implement components of our clients' data platform solution. You'll also participate in design sessions, be experienced at breaking down complex development tasks, and be responsible for the timely and quality completion of development items assigned to you and the data engineers reporting to you.

What You'll Bring

As a Lead Data Engineer in the Data Architecture & Engineering team, you will 5+ years of professional experience with at least 3 years of previous leadership experience. You are self-starter, effective in breaking down large problems into smaller ones, and eager to regularly share what you learn with others within your projects and in the broader Data community.

You will have an insatiable need for becoming the best at what you do and have hands-on experience with data platforms and programming languages as you explore the range of technologies we help our clients with, including:

  • Big Data Platforms (Apache Spark, Presto, Amazon EMR)
  • Cloud Data Warehouses (Amazon Redshift, Snowflake, Google BigQuery)
  • Object Oriented Coding (Java, Python)
  • NoSQL Databases (DynamoDB, Cosmos DB, MongoDB)
  • Container Management Systems (Kubernetes, Amazon ECS)
  • Artificial Intelligence / Machine Learning (Amazon Sagemaker, Azure ML Studio)
  • Streaming Data Ingestion and Analytics (Amazon Kinesis, Apache Kafka)
  • Visual Analytics (Tableau, PowerBI)
  • Modern Data Workflows (Apache Airflow, dbt, Dagster)

For this position, experience with Airflow, Gitlab and Tableau are required.

About Us

Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.

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About the Company

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Slalom Inc