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 #J-18808-Ljbffr
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 #J-18808-Ljbffr