Anblicks
Lead Data Engineer - Data Modernization (Onsite - Dallas, TX)
We are looking for a
Lead Data Engineer
to drive the
migration of data, ETL pipelines, and legacy code
as part of a large-scale
Data Modernization program
in the
Mortgage Banking
domain. This is a
hands-on leadership role based onsite in Dallas, TX .
Key Responsibilities: • Lead the
design, development, and migration
of data pipelines from legacy platforms (e.g.,
SQL Server, Talend, DataStage ) to modern stacks (e.g.,
Snowflake, DBT, Fivetran ) • Collaborate with Architects and Modelers to align engineering efforts with target state architecture and semantic models • Refactor and optimize legacy ETL jobs into scalable, cloud-native data pipelines • Ensure
data quality, lineage, and governance
practices are embedded throughout the migration • Mentor junior engineers and coordinate efforts across global delivery teams
Required Qualifications: • 8+ years of experience in
data engineering , with a strong focus on
data platform modernization • Proven experience migrating
data, ETL pipelines, and transformation logic
from legacy platforms to
modern cloud data platforms • Hands-on expertise with tools such as
Snowflake, DBT, Fivetran , and legacy stacks like
SQL Server, Talend, DataStage • Familiarity with
GCP
and experience working in regulated industries like
financial services or mortgage banking is a plus • Strong collaboration, problem-solving, and communication skills
Location:
Must be available to work
onsite in Dallas, TX
We are looking for a
Lead Data Engineer
to drive the
migration of data, ETL pipelines, and legacy code
as part of a large-scale
Data Modernization program
in the
Mortgage Banking
domain. This is a
hands-on leadership role based onsite in Dallas, TX .
Key Responsibilities: • Lead the
design, development, and migration
of data pipelines from legacy platforms (e.g.,
SQL Server, Talend, DataStage ) to modern stacks (e.g.,
Snowflake, DBT, Fivetran ) • Collaborate with Architects and Modelers to align engineering efforts with target state architecture and semantic models • Refactor and optimize legacy ETL jobs into scalable, cloud-native data pipelines • Ensure
data quality, lineage, and governance
practices are embedded throughout the migration • Mentor junior engineers and coordinate efforts across global delivery teams
Required Qualifications: • 8+ years of experience in
data engineering , with a strong focus on
data platform modernization • Proven experience migrating
data, ETL pipelines, and transformation logic
from legacy platforms to
modern cloud data platforms • Hands-on expertise with tools such as
Snowflake, DBT, Fivetran , and legacy stacks like
SQL Server, Talend, DataStage • Familiarity with
GCP
and experience working in regulated industries like
financial services or mortgage banking is a plus • Strong collaboration, problem-solving, and communication skills
Location:
Must be available to work
onsite in Dallas, TX