Data Engineer

Description:

We are seeking a Data Engineer with 7 - 15 years of experience. As a Data Engineer, you will be pivotal in shaping our data infrastructure and ensuring data flows seamlessly through our organization. We can consider candidates for this position who can accommodate a hybrid work schedule and are close to our Atlanta, GA office.

Exhibit sound judgment and swift decision-making skills

Exhibit strong attention to detail and accuracy

Ability to collaborate and build consensus with others

Love of technology; actively seeks continuing education in current and emerging technologies.

Experience & Expertise with concepts like Data Mess, Lakehouse, Data orchestration, ETL/ELT, and Cloud Data warehousing.

Experience with ADF, Databricks, Logic Apps, Dataflow, Delta Lake - ingesting, transforming, and curating structure and unstructured data set

Experience with building analytic solutions applicable to Sales, Finance, Product, Operations, and Marketing organizations in an enterprise

Experience implementing operational best practices such as monitoring, alerting, metadata management, data cataloging, and data modeling

Experience managing, measuring, and improving data quality in an OLAP/OLTP

Communication skills including the ability to identify and communicate data-driven insights

Experience working in an agile development environment

Experience working with Salesforce in the wealth management domain is highly desirable

Experience working with cloud providers, both on the IAAS side (Azure), and in the data and analytics space (Snowflake, etc). We run our infrastructure in Azure, so experience with that ecosystem is a huge plus.

Experience in working in large teams using CI/CD and agile methodologies.

Responsibilities:

Ownership of defining, documenting, and operating overall data strategy, including schema definitions, system contracts, security, compliance, and SLAs

Evangelize data strategy among stakeholders such as business users and various data teams through design, documentation, review, and cross-team negotiations to support strategic business and technology goals

Build and lead a cross-cutting team responsible for operational excellence of data platform including change management process, SDLC, and CICD

Own and implement a technical roadmap for continuous improvement of the data platform, including tech stack upgrades, cost optimization, and compliance requirements.

Own and operate automated operational test cases for performance, security, and reliability of data platform

Responsible for growing and inspiring a team of engineers through a combination of coaching, mentoring, feedback, and hands-on career development

Cultivate a healthy, collaborative technology culture that is in line with company values

Skills:

Azure (ADF, Databricks, Spark, Python, SQL, LogicApps, Fabrics).