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Data Manager

Allata is a fast-growing technology strategy and data development consulting firm delivering scalable solutions to our enterprise clients. Our mission is to inspire our clients to achieve their most strategic goals through uncompromised delivery, active listening, and personal accountability. We are a group who thrive in fast-paced environments, working on complex problems, continually learning, and working alongside colleagues to be better together.


We are actively seeking a Data Manager with strong expertise in DataBricks to guide and drive the evolution of our client's data ecosystem. 


The ideal candidate will combine technical leadership with hands-on execution, leading the design, migration, and implementation of robust data solutions while mentoring team members and collaborating with stakeholders to achieve enterprise-wide analytics goals. 


Role & Responsibilities:
  • Provide technical leadership in designing, building, and maintaining reusable data products using Data Bricks, Python, and SQL. 
  • Lead the migration of existing data pipelines to modern frameworks and ensure scalability and efficiency. 
  • Establish and enforce data quality standards, leveraging automated testing and reporting to ensure data accuracy, consistency, and compliance. 
  • Develop and oversee the data infrastructure, pipeline architecture, and integration solutions while actively contributing to hands-on implementation. 
  • Collaborate with business and technical stakeholders to define requirements and ensure data solutions align with business goals. 
  • Build and maintain scalable, efficient data processing pipelines and solutions for data-driven applications. 
  • Develop comprehensive documentation of data engineering processes and provide mentorship to junior team members. 
  • Monitor and ensure adherence to data security, privacy regulations, and compliance standards. 
  • Troubleshoot and resolve complex data-related challenges and incidents in a timely manner. 
  • Stay at the forefront of emerging trends and technologies in data engineering and advocate for their integration when relevant. 


Hard Skills - Must have:
  • Proven expertise in DataBricks, SQL, and Python for processing and managing large data volumes. 
  • Strong experience in desiging and migrating existing databricks workspaces to unity catalog workspaces.  
  • Familiarity with batch and streaming data processing techniques. 


Hard Skills - Nice to have/It's a plus:
  • Familiarity with architectural best practices for building data lakes. 
  • Knowledge of SSIS/DacPacs. 
  • Demonstrated experience Familiarity with applying DevOps principles (e.g., Git, CI/CD) to data engineering projects, Pulumi in Typescript. 
  • Experience with Azure Functions. 
  • Knowledge of ASP.Net and .Net Core. 
  • Knowledge of observability and monitoring frameworks for data solutions. 
  • Experience with Databricks Unity Catalog, i.e. configuring and managing data governance and access controls in a Lakehouse environment 


Soft Skills / Business Specific Skills:
  • Demonstrated ability to lead technical discussions and guide teams in solving complex data challenges. 
  • Strong collaboration and stakeholder management skills in distributed teams. 
  • Proactive problem-solving attitude with excellent organizational and analytical capabilities. 
  • Fluent English communication skills, both written and verbal. 
  • Familiarity with Agile methodologies and SDLC practices. 


At Allata, we value differences.


Allata is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.


Allata makes employment decisions without regard to race, color, creed, religion, age, ancestry, national origin, veteran status, sex, sexual orientation, gender, gender identity, gender expression, marital status, disability or any other legally protected category.


This policy applies to all terms and conditions of employment, including but not limited to, recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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What You Should Know About Data Manager, Allata

At Allata, we're excited to invite a talented Data Manager to our vibrant team in Dallas, TX! As a fast-growing technology strategy and data development consulting firm, we focus on delivering scalable solutions to our enterprise clients. In this role, you'll have the opportunity to blend technical leadership with the hands-on execution needed to guide the evolution of our clients' data ecosystems. We're looking for someone who loves tackling complex challenges and thrives in fast-paced environments. Your expertise in DataBricks, SQL, and Python will play a crucial role as you lead the design and migration of robust data solutions. Collaboration is key at Allata, and you'll work closely with business and technical stakeholders, ensuring that our data solutions align perfectly with their goals. If you’re passionate about establishing data quality standards and mentoring others, this role is for you! Join us, and let's achieve greatness together while staying ahead of the trends in data engineering.

Frequently Asked Questions (FAQs) for Data Manager Role at Allata
What are the key responsibilities of a Data Manager at Allata?

As a Data Manager at Allata, you will lead the design and implementation of reusable data products using DataBricks, Python, and SQL. Your key responsibilities include migrating existing data pipelines to modern frameworks, ensuring data quality through automated testing, and developing infrastructure for data architecture. You’ll also collaborate closely with stakeholders to define project requirements and provide mentorship to junior team members.

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What technical skills are required for the Data Manager position at Allata?

To excel as a Data Manager at Allata, you should have proven expertise in DataBricks, SQL, and Python, particularly in processing large volumes of data. Additionally, experience in designing and migrating data pipelines to modern frameworks, as well as familiarity with batch and streaming data processing techniques, will be vital for success in your role.

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What soft skills are valuable for a Data Manager at Allata?

At Allata, a successful Data Manager possesses strong collaboration and stakeholder management skills, especially when working with distributed teams. Proactive problem-solving abilities, excellent organizational skills, and fluency in English communications are crucial. Familiarity with Agile methodologies and a strong mentorship attitude can significantly enhance teamwork and project success.

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What should candidates expect in terms of professional growth as a Data Manager at Allata?

Candidates can look forward to significant professional growth as a Data Manager at Allata. With our commitment to mentorship and continuous learning, you’ll have ample opportunities to enhance your technical skills and leadership capabilities. You'll also stay abreast of the latest trends in data engineering, integrating new technologies into your workflow, thereby adding value to both yourself and the organization.

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What is Allata's work culture like for Data Managers?

At Allata, the work culture is dynamic and inclusive, emphasizing collaboration and innovation. We value diversity and encourage a teamwork-oriented environment where everyone can contribute their unique perspectives. As a Data Manager, you'll be part of a team that thrives on solving complex problems together and supporting each other's growth and development.

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Common Interview Questions for Data Manager
Can you describe your experience with DataBricks and how you have utilized it in past projects?

When answering this question, highlight specific projects where you successfully implemented DataBricks. Describe the challenges you faced, the solutions you developed, and the outcomes achieved. Emphasize your hands-on experience and any innovative techniques you utilized to optimize data processing.

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How do you ensure data quality and integrity in your data pipelines?

In your response, describe your approach to establishing data quality standards, which may include automated testing and reporting. Share examples of how you've implemented validation processes to maintain data accuracy and prevent inconsistencies.

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What strategies do you use to lead and mentor a team effectively?

Discuss your leadership philosophy, focusing on communication and collaboration. Share specific examples where you successfully mentored colleagues or led projects, and explain how you foster a supportive learning environment while working towards shared goals.

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Explain your experience with data migration strategies.

Be prepared to discuss the methodologies you have used for migrating data from legacy systems to modern frameworks. Highlight any tools, challenges, and successes you've experienced in ensuring minimal downtime and data integrity during the migration process.

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How do you approach troubleshooting complex data issues?

Describe a systematic approach to identifying the root cause of data issues. Share examples of specific incidents you resolved, the steps you took, and how you communicated findings and solutions to your team or stakeholders.

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What tools do you prefer for developing data processing pipelines, and why?

Mention the tools you've used, particularly focusing on DataBricks, Python, and SQL. Explain why you prefer these tools and how they efficiently meet the needs of the projects you've managed.

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How do you keep up with emerging technologies in data engineering?

Highlight your proactive approach to staying updated with industry trends through resources like tech blogs, webinars, and conferences. Discuss any communities or networks you engage with for knowledge sharing and best practices.

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Describe a situation where you had to align data solutions with business goals.

Provide a specific example where you collaborated with stakeholders to define requirements. Detail the process of how you gathered their needs, formulated a data solution, and ensured that it aligned with their overall business objectives.

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How do you ensure compliance with data privacy and security regulations?

Discuss your familiarity with relevant data privacy regulations and how you implement security measures to protect sensitive information. Highlight any specific frameworks or practices you've utilized to maintain compliance in past roles.

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Why do you want to work as a Data Manager at Allata?

When answering this question, convey your understanding of Allata's mission and values. Express how your skills and experiences align with the company's goals and how you envision contributing to its success, as well as your excitement for the collaborative work culture.

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At Allata we inspire our clients to achieve their most strategic goals. We focus on knowing their business and seeking long-term relationships based on active listening, uncompromising delivery, and personal accountability.

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Full-time, on-site
DATE POSTED
March 22, 2025

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