Data Lead
2 weeks ago
Job Descripon Senior Data Lead
Posion
Senior Data Lead
Loca¢on
[Insert Loca¢on / Remote / Hybrid]
About the Role
We are looking for a Senior Data Lead to work closely with our Data Architect and play a key role
in execu¢ng the data strategy, building pipelines, and leading delivery of cri¢cal data projects. This
is a hands-on technical leadership role youll design, code, review, and mentor engineers, while
ensuring the data pla¢orm is reliable, governed, and future-ready.
You will be the bridge between architecture and engineering execu¢on, transla¢ng architectural
blueprints into scalable, produc¢on-grade solu¢ons.
Key Responsibili¢es
Pla¢orm & Pipeline Development
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Design and build scalable ETL/ELT pipelines for batch, near real-¢me, and streaming data.
Implement data orchestra¢on workows (Airow, Dagster, Prefect, ADF).
Op¢mize distributed data processing (Spark, Databricks, Flink, Ka¢a).
Ensure data sharding, par¢¢oning, and performance op¢miza¢on in large-scale
environments.
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Deploy and maintain data APIs, integra¢on services, and microservices.
Governance & Quality
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Implement and enforce data quality checks, valida¢on rules, and observability frameworks.
Maintain metadata, lineage, and documenta¢on to support governance.
Partner with the architect to implement security, access control, and compliance
requirements.
Analy¢cs & AI/ML Enablement
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Enable BI/analy¢cs teams by building trusted datasets, marts, and seman¢c layers.
Support data scien¢sts in deploying and opera¢onalizing predic¢ve models.
Contribute to feature engineering pipelines and ML workows.
Leadership & Delivery
Lead a team of data engineers/analysts, providing technical mentorship and code reviews.
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Ensure projects are delivered on ¢me, with high quality, and aligned to architectural
guidelines.
Collaborate with product, engineering, and business stakeholders to translate requirements
into solu¢ons.
Champion Agile/DataOps/MLOps prac¢ces across the data team.
Required Skills & Experience
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812 years in data engineering, with at least 3+ years in a lead/technical lead role.
Strong exper¢se in Python/Scala/Java, SQL, and distributed compu¢ng (Spark, Databricks,
Flink, Ka¢a).
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Proven experience with cloud data pla¢orms (AWS, Azure, GCP) and warehouses
(Snowake, BigQuery, Redshi¢, Synapse).
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Hands-on with orchestra¢on tools (Airow, ADF, Prefect, Dagster).
Experience with CI/CD pipelines, containers (Docker/Kubernetes), IaC (Terraform,
CloudForma¢on).
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Solid knowledge of data governance prac¢ces, data catalogs, and observability.
Strong problem-solving and debugging skills; able to op¢mize pipelines for performance and
cost.
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Excellent communica¢on skills and ability to mentor junior engineers.
Preferred Qualica¢ons
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Exposure to predic¢ve modelling, ML pipelines, and MLOps.
Experience with streaming/real-¢me architectures (Ka¢a, Kinesis, Pub/Sub).
Familiarity with data governance tools (Collibra, Ala¢on, Purview).
Cer¢¢ca¢ons in cloud data engineering (AWS, Azure, GCP).
What We Oer
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Opportunity to work side-by-side with the Data Architect to shape the companys data
pla¢orm.
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A highly technical, hands-on role with freedom to innovate.
Growth path into Architect/Head of Data Engineering roles.
Work with modern data stack, cu¢ng-edge tools, and challenging big-data problems.
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